bertelsen's gene [46 articles] Export

Recent papers added to bertelsen's library classified by the tag gene. You can also see everyone's gene.

	The Gene Wiki: community intelligence applied to human gene annotation [My Copy] Nucl. Acids Res. (15 September 2009), gkp760. by Jon W. Huss, Pierre Lindenbaum, Michael Martone, et al.Donabel Roberts, Angel Pizarro, Faramarz Valafar, John B. Hogenesch, Andrew I. Su posted to wikipedia human gene community annotation by bertelsen on 2009-11-25 14:17:39 as along with 12 people and 2 groups operon fgibson nlapalu daforerog jobadge jgill thomaskelder timhubbard VGreiff druvus ppgardne dullhunk eLearning in Leicester Journal picks
	A genomic strategy to elucidate modules of oncogenic pathway signaling networks. [My Copy] Molecular cell, Vol. 34, No. 1. (10 April 2009), pp. 104-114. by Jeffrey T. Chang, Carlos Carvalho, Seiichi Mori, et al.Andrea H. Bild, Michael L. Gatza, Quanli Wang, Joseph E. Lucas, Anil Potti, Phillip G. Febbo, Mike West, Joseph R. Nevins posted to signatures signal pathway-analysis pathway oncogenesis networks modules gene caner biochemical by bertelsen on 2009-10-06 22:27:02 as along with 8 people and 1 group jfr jmstat guhjy mspivako renatomilani fenghezi shikin roys Journal picks
	Analyzing gene expression data in terms of gene sets: methodological issues [My Copy] Bioinformatics, Vol. 23, No. 8. (15 April 2007), pp. 980-987. by Jelle J. Goeman, Peter Buhlmann posted to test statistical set methodology gene-expression gene enrichment-analysis by bertelsen on 2009-09-28 15:26:19 as along with 19 people and 3 groups hzoltan zufar srp33 jperkins ptrobajo VGreiff tonamswish ipark-kaist aramesh2 ydhwang shikin raiyar ghattem jfr ealloza shigepong heliopais guhjy diging_data SIMR bioinformatics BioinfoCIPF BTS-PT-AS-CS
	Applications of a rat multiple tissue gene expression data set. [My Copy] Genome research, Vol. 14, No. 4. (April 2004), pp. 742-749. by John R. Walker, Andrew I. Su, David W. Self, et al.John B. Hogenesch, Hilmar Lapp, Rainer Maier, Daniel Hoyer, Graeme Bilbe posted to tissue-specific rats quantitative-trait-loci phenotype microarray gene-expression gene functional-genomics co-expression annotation by bertelsen on 2009-09-28 13:52:43 as along with 2 people grahamc eukfn
	Gene synthesis demystified. [My Copy] Trends in biotechnology, Vol. 27, No. 2. (26 February 2009), pp. 63-72. by Michael J. Czar, J. Christopher Anderson, Joel S. Bader, Jean Peccoud posted to synthetic-biology synthesis review genetic_engineering gene dna by bertelsen on 2009-09-25 11:47:10 as along with 6 people JamesBarger antonkratz guhjy pansapiens Synthetic_Biology_Literature Vincent_Rouilly
	You're one in a googol: optimizing genes for protein expression [My Copy] Journal of The Royal Society Interface, Vol. 6, No. Suppl 4. (6 August 2009), pp. S467-S476. by Mark Welch, Alan Villalobos, Claes Gustafsson, Jeremy Minshull posted to synthetic-biology review protein-expression gene-expression gene-design gene algorithms by bertelsen on 2009-09-05 18:03:19 as along with 2 people ts3435 antonkratz
	What is a gene, post-ENCODE? History and updated definition [My Copy] Genome Research, Vol. 17, No. 6. (June 2007), pp. 669-681. by Mark B. Gerstein, Can Bruce, Joel S. Rozowsky, et al.Deyou Zheng, Jiang Du, Jan O. Korbel, Olof Emanuelsson, Zhengdong D. Zhang, Sherman Weissman, Michael Snyder posted to definition encode gene genome reivew by bertelsen on 2009-07-22 21:47:31 as along with 35 people and 4 groups daveGerrard Yanno inesdesantiago kentz ddcttrl tmarscha thegoose2 burak guhjy carolh12 eweaver dpollard balicea dchughes dullhunk madhadron cottrell grahamc egonw ghattem sujaikumar Garamonfok PunkRock jasonbobe PredictER cabbagezs Jporci kmdaily krokicki antonkratz Minty hpaces tharris altotor mjoach Bioinformatics EisenLab G4ID Genetics-of-Gambling
	Comparative analysis of microarray normalization procedures: effects on reverse engineering gene networks. [My Copy] Bioinformatics (Oxford, England), Vol. 23, No. 13. (1 July 2007), pp. i282-288. by Wei Keat K. Lim, Kai Wang, Celine Lefebvre, Andrea Califano posted to analysis comparative gene microarray networks normalization reverse-engineering by bertelsen on 2009-06-11 23:38:22 as along with 12 people jperkins jeremymiller lawraga frohike huiminC dubhelix giovenko pengchy aramesh2 shigepong ghattem heliopais
	GOLEM: an interactive graph-based gene-ontology navigation and analysis tool [My Copy] BMC Bioinformatics, Vol. 7 (10 October 2006), 443. by Rachel S. G. Sealfon, Matthew A. Hibbs, Curtis Huttenhower, Chad L. Myers, Olga G. Troyanskaya posted to analysis gene go interactive ontology tool visualization by bertelsen on 2009-03-03 23:13:46 as along with 6 people and 2 groups guhjy tardigrade ealloza giovanni jdiggans carlk BioinfoCIPF GeschwindLab
	VIRGO: computational prediction of gene functions. [My Copy] Nucleic acids research, Vol. 34, No. Web Server issue. (1 July 2006) by N. Massjouni, C. G. Rivera, T. M. Murali posted to computational function functional-genomics gene ontology prediction by bertelsen on 2009-03-03 22:07:36 as along with 1 person dragonrez
	A probabilistic view of gene function. [My Copy] Nat Genet, Vol. 36, No. 6. (June 2004), pp. 559-564. by A. G. Fraser, E. M. Marcotte posted to function gene gene-function probabilistic by bertelsen on 2009-03-03 22:01:12 as along with 10 people and 1 group snuppepuppan ziquje lfriedl opheliav wnpx samal grahamc massivemayhem bootsy vietanh0 kdl
	Use and misuse of the gene ontology annotations [My Copy] Nature Reviews Genetics, Vol. 9, No. 7. (13 May 2008), pp. 509-515. by Seung Yon Rhee, Valerie Wood, Kara Dolinski, Sorin Draghici posted to annotation gene go ontology review by bertelsen on 2009-03-03 21:50:12 as along with 40 people and 3 groups singhsh epigenetics davidmam Thaverkamp druvus dullhunk suizan dolchan Borelli Zephyrus VGreiff klo thomaskelder ilyashl phoenixzxl MarcoAlvarez isakemal daforerog jfr djkt guhjy aheilbut mariakmejia cmzmasek A_Olympia realzhang carlk roys gjuggler fpattyn RamuAnandakrishnan ptrobajo giovenko cabbagesofdoom tmmurali renatomilani capitall marck rvosa bpcusack 8_01 logics of knowledge FAB-lab
	Gene Ontology: tool for the unification of biology [My Copy] Nature Genetics, Vol. 25, No. 1. (01 May 2000), pp. 25-29. by M. Ashburner, C. A. Ball, J. A. Blake, et al.D. Botstein, H. Butler, J. M. Cherry, A. P. Davis, K. Dolinski, S. S. Dwight, J. T. Eppig, M. A. Harris, D. P. Hill, L. Issel-Tarver, A. Kasarskis, S. Lewis, J. C. Matese, J. E. Richardson, M. Ringwald, G. M. Rubin, G. Sherlock posted to gene go ontology tool by bertelsen on 2009-03-03 21:29:10 as along with 76 people and 8 groups suizan sanchezbuelna Jporci artaban421 mtaschuk niallhaslam Zephyrus nicklynch mauriceccy pmendes jperkins timhubbard ipark-kaist jeremymiller vkwn MarcoAlvarez humburg mqbphcw3 kiekyon karinlag ocs marti robert85 allysonlister daforerog chasmand lawraga jorisslob mshossain ajbattle paszkows coela fbristow kshameer anthropomorphism nolodie dagmar Robinder verdicchio raistrick vertikalist aalibes miguel dragonrez lfriedl chad_davis yas balajis indigoviolet benny dullhunk nirfriedman fisherp caporaso helliontroy zlu gurkanbebek djkt massivemayhem incovoma leechuck aconesa sgoetz javamint bootsy PunkRock natstreet naegele CitoJam pablomendes carlk marck dgront roys rvosa fongenae 8_01 BTS-PT-AS-CS kdl Bioinformatics EisenLab T_lab biomedical-nlp FAB-lab
	Missing-value estimation using linear and non-linear regression with Bayesian gene selection. [My Copy] Bioinformatics, Vol. 19, No. 17. (22 November 2003), pp. 2302-2307. by X. Zhou, X. Wang, E. R. Dougherty posted to bayesian estimation gene microary missing-value regression selection by bertelsen on 2009-02-18 20:30:39 as
	Functional and evolutionary inference in gene networks: does topology matter? [My Copy] Genetica, Vol. 129, No. 1. (January 2007), pp. 83-103. by Siegal, Mark, Promislow, Daniel, Bergman, Aviv posted to evolution functional-genomics gene networks topological by bertelsen on 2009-02-18 20:11:01 as along with 1 person kentz
	A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome. [My Copy] Science (New York, N.Y.), Vol. 321, No. 5891. (15 August 2008), pp. 956-960. by M. Sultan, M. H. Schulz, H. Richard, et al.A. Magen, A. Klingenhoff, M. Scherf, M. Seifert, T. Borodina, A. Soldatov, D. Parkhomchuk, D. Schmidt, S. O'Keeffe, S. Haas, M. Vingron, H. Lehrach, M. L. Yaspo posted to alternative gene global human sequencing splicing transcriptome by bertelsen on 2008-12-05 15:39:43 as along with 28 people and 2 groups hzoltan zufar eszczurek n00c dna inesdesantiago ilyashl TRHvidsten poschm ivanek guhjy wutongbin jfr raistrick gracio xingxu psique oelemento Ema reyez caseybrown kjglennie dh0000 GeeSharpMinor balicea djkt ArtemPankin zwang BenosLab Khavkin's lab
	The mechanism of micro-RNA-mediated translation repression is determined by the promoter of the target gene [My Copy] Proceedings of the National Academy of Sciences (25 June 2008), 0800650105. by Yi W. Kong, Ian G. Cannell, Cornelia H. de Moor, et al.Kirsti Hill, Paul G. Garside, Tiffany L. Hamilton, Hedda A. Meijer, Helen C. Dobbyn, Mark Stoneley, Keith A. Spriggs, Anne E. Willis, Martin Bushell posted to non-protein-coding gene mechanism mirna promoter translation by bertelsen on 2008-12-01 11:33:42 as along with 7 people and 1 group provero pengchy valeriehilgers heliopais bootsy maralena fpattyn microRNA
	Deep cap analysis gene expression (CAGE): genome-wide identification of promoters, quantification of their expression, and network inference. [My Copy] BioTechniques, Vol. 44, No. 5. (April 2008) by M. de Hoon, Y. Hayashizaki posted to analysis cage expression gene genome identification inference network promoter by bertelsen on 2008-11-18 13:35:09 as along with 2 people coela guhjy
	Modeling and Visualizing Uncertainty in Gene Expression Clusters using Dirichlet Process Mixtures [My Copy] IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 99, No. 1. (5555) by Carl Rasmussen, Bernard, Zoubin Ghahramani, David Wild posted to clustering dirichlet-process expression gene measure microarray modeling uncertainty by bertelsen on 2008-11-17 10:51:51 as
	Principles and limitations of computational microRNA gene and target finding. [My Copy] DNA Cell Biol, Vol. 26, No. 5. (May 2007), pp. 339-351. by M. Lindow, J. Gorodkin posted to computational gene mirna by bertelsen on 2008-10-29 22:16:51 as along with 3 people and 1 group debasis heliopais maralena microRNA
	Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 100, No. 26. (23 December 2003), pp. 15776-15781. by T. Shiraki, S. Kondo, S. Katayama, et al.K. Waki, T. Kasukawa, H. Kawaji, R. Kodzius, A. Watahiki, M. Nakamura, T. Arakawa, S. Fukuda, D. Sasaki, A. Podhajska, M. Harbers, J. Kawai, P. Carninci, Y. Hayashizaki posted to 5 analysis cage cap expression gene by bertelsen on 2008-10-15 08:28:31 as along with 8 people YukaH myrtilus setar troels_marstrand xiaobeizhao olympos gjuggler guhjy
	Alignment and classification of time series gene expression in clinical studies. [My Copy] Bioinformatics (Oxford, England), Vol. 24, No. 13. (1 July 2008) by T. H. Lin, N. Kaminski, Z. Bar-Joseph posted to classification expression gene hmm time-series by bertelsen on 2008-09-26 10:58:22 as along with 3 people tienholin TRHvidsten jfr
	Theoretical and experimental comparisons of gene expression indexes for oligonucleotide arrays. [My Copy] Bioinformatics (Oxford, England), Vol. 18, No. 11. (November 2002), pp. 1470-1476. by W. J. Lemon, J. J. Palatini, R. Krahe, F. A. Wright posted to comparison expression gene microarray summary by bertelsen on 2008-09-18 00:06:30 as
	Automatic generation of gene finders for eukaryotic species [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006) by Kasper Munch, Anders Krogh posted to automatic eukaryotic gene hmm machine-learning by bertelsen on 2008-09-13 10:05:26 as along with 3 people and 1 group kaspermunch GustavoLacerda alexl Bioinformatics
	What are artificial neural networks? [My Copy] Nature biotechnology, Vol. 26, No. 2. (February 2008), pp. 195-197. by Anders Krogh posted to classification gene machine-learning network neural prediction primer protein sequenc by bertelsen on 2008-08-17 15:34:01 as along with 14 people lrachman daforerog Yanno guhjy dullhunk zwang cabbagezs asddd sci91078 jfr adacier ale mjoach marck
	Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays. [My Copy] Bioinformatics (Oxford, England), Vol. 19, No. 15. (12 October 2003), pp. 1945-1951. by N. Jain, J. Thatte, T. Braciale, K. Ley, M. O'Connell, J. K. Lee posted to analysis differential error expression gene local microarray test by bertelsen on 2008-08-08 21:42:54 as along with 1 person dolchan
	Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework. [My Copy] Artif Intell Med, Vol. 41, No. 2. (October 2007), pp. 105-115. by S. Zhong, D. Xie posted to analysis clustering function gene go hypothesis microarray multiple ontology test time-course by bertelsen on 2008-07-03 01:24:32 as along with 2 people ericvonwettberg guhjy
	Quantitative Trait Associated Microarray Gene Expression Data Analysis [My Copy] Mol Biol Evol, Vol. 23, No. 8. (1 August 2006), pp. 1558-1573. by Yi Qu, Shizhong Xu posted to analysis classification data expression gene microarray quantitative by bertelsen on 2008-07-03 01:21:18 as along with 1 person natstreet
	Bayesian biclustering of gene expression data. [My Copy] BMC genomics, Vol. 9 Suppl 1, No. Suppl 1. (2008), S4. by Jiajun Gu, Jun S. Liu posted to bayesian clustering expression gene by bertelsen on 2008-07-03 01:11:36 as along with 9 people meanerelk dolchan marti tonamswish imina tvdbulck jfr yangc dragonrez
	GGtools: analysis of genetics of gene expression in bioconductor. [My Copy] Bioinformatics (Oxford, England), Vol. 23, No. 4. (15 February 2007), pp. 522-523. by V. J. Carey, M. Morgan, S. Falcon, R. Lazarus, R. Gentleman posted to analysis bioconductor expression gene gene-expression genetics snp by bertelsen on 2008-07-01 18:33:04 as along with 1 person guhjy
	GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor. [My Copy] Bioinformatics (12 May 2007) by Sean Davis, Paul S S. Meltzer posted to analysis bioconductor expression gene microarray by bertelsen on 2008-07-01 18:02:32 as along with 10 people and 1 group brianb dswan neils shikin guhjy jfr ugengma giovenko ablejec zhouyu Bioinformatics
	Serial analysis of gene expression. [My Copy] Science, Vol. 270, No. 5235. (20 October 1995), pp. 484-487. by V. E. Velculescu, L. Zhang, B. Vogelstein, K. W. Kinzler posted to expression gene sage by bertelsen on 2008-06-05 23:02:14 as along with 8 people and 1 group shikin sgoetz gurkanbebek jeremymiller epigenetics elzodw xiaobeizhao bozdagd GeschwindLab
	Missing value imputation improves clustering and interpretation of gene expression microarray data [My Copy] BMC Bioinformatics, Vol. 9 (18 April 2008), 202. by Johannes Tuikkala, Laura L. Elo, Olli S. Nevalainen, Tero Aittokallio posted to clustering expression gene imputation microarray by bertelsen on 2008-04-29 21:26:05 as along with 2 people shigepong guhjy
	Probe-level measurement error improves accuracy in detecting differential gene expression. [My Copy] Bioinformatics, Vol. 22, No. 17. (1 September 2006), pp. 2107-2113. by X. Liu, M. Milo, N. D. Lawrence, M. Rattray posted to accuracy bayesian differential error expression gene measurement probe-level by bertelsen on 2008-04-29 08:50:45 as along with 1 person shigepong
	Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotide arrays. [My Copy] Bioinformatics (3 March 2008) by Jin Xu, Xinping Cui posted to differential expression gene manova microarray by bertelsen on 2008-04-25 11:36:21 as along with 6 people guhjy shigepong chrys kengg GeeSharpMinor caseybrown
	A power law global error model for the identification of differentially expressed genes in microarray data [My Copy] BMC Bioinformatics, Vol. 5, No. 1. (2004) by Norman Pavelka, Mattia Pelizzola, Caterina Vizzardelli, et al.Monica Capozzoli, Andrea Splendiani, Francesca Granucci, Paola R. Castagnoli posted to differential error expression gene microarray model by bertelsen on 2008-04-24 13:23:13 as along with 1 person ghattem
	A Unified Theory of Gene Expression [My Copy] Cell, Vol. 108, No. 4. (22 February 2002), pp. 439-451. by G. Orphanides posted to expression gene theory by bertelsen on 2008-04-18 22:04:14 as along with 1 person klo
	GOToolBox: functional analysis of gene datasets based on Gene Ontology. [My Copy] Genome Biol, Vol. 5, No. 12. (2004) by D. Martin, C. Brun, E. Remy, P. Mouren, D. Thieffry, B. Jacq posted to gene go ontology by bertelsen on 2008-04-14 19:49:44 as along with 2 people jmeppley yggdrasil
	Comparison of the contributions of the nuclear and cytoplasmic compartments to global gene expression in human cells [My Copy] BMC Genomics, Vol. 8, No. 1. (2007) by Roger Barthelson, Georgina Lambert, Cheryl Vanier, Ronald Lynch, David Galbraith posted to compartments expression gene global microarray mirna by bertelsen on 2008-04-14 19:15:21 as
	Estimation and inversion of the effects of cell population asynchrony in gene expression time-series [My Copy] Signal Processing, Vol. 83, No. 4. (April 2003), pp. 835-858. by Harri Lahdesmaki, Heikki Huttunen, Tommi Aho, et al.Marja-Leena Linne, Jari Niemi, Juha Kesseli, Ron Pearson, Olli Yli-Harja posted to expression gene time-series by bertelsen on 2008-04-09 00:21:22 as
	Bayesian models based on test statistics for multiple hypothesis testing problems. [My Copy] Bioinformatics (1 February 2008) by Yuan Ji, Yiling Lu, Gordon B B. Mills posted to analysis bayesian differential expression gene hypothesis multiple test by bertelsen on 2008-04-02 14:52:28 as along with 8 people guhjy jfr djkt shigepong GeeSharpMinor mailund maralena craigwilson06
	Origin of phenotypes: genes and transcripts. [My Copy] Genome research, Vol. 17, No. 6. (June 2007), pp. 682-690. by T. R. Gingeras posted to cds gene phenotype polyadenylation review transcripts by bertelsen on 2008-03-09 17:02:29 as along with 10 people and 4 groups inesdesantiago klo guhjy balicea xico dchughes michC ghattem Garamonfok Jporci Bioinformatics WetBiology G4ID Genetics-of-Gambling
	EDISA: extracting biclusters from multiple time-series of gene expression profiles. [My Copy] BMC bioinformatics, Vol. 8 (12 September 2007), 334. by Jochen Supper, Martin Strauch, Dierk Wanke, Klaus Harter, Andreas Zell posted to co-regulated expression gene profiles time-series by bertelsen on 2007-09-21 22:58:30 as along with 3 people meanerelk guhjy dps
	Comparison of different probe-level analysis techniques for oligonucleotide microarrays. [My Copy] Biotechniques, Vol. 36, No. 2. (2004), pp. 316-22. by B. Rosati, F. Grau, A. Kuehler, S. Rodriguez, D. Mckinnon posted to analysismethods animals array chain expression false gene myocardiummetabolism negative oligonucleotide polymerase positive probesgenetics profilingmethods rats reactionmethods reactions sequence binfbib import by bertelsen on 2007-06-19 17:46:12 as
	Accounting for probe-level noise in principal component analysis of microarray data. [My Copy] Bioinformatics, Vol. 21, No. 19. (2005), pp. 3748-54. by G. Sanguinetti, M. Milo, M. Rattray, N. D. Lawrence posted to algorithms analysis analysismethods array bayesian binfbib component data expression gene genetic import interpretation models oligonucleotide principal processes profilingmethods sequence software statistical stochastic by bertelsen on 2007-06-19 17:46:12 as
	Interpretation of multiple probe sets mapping to the same gene in Affymetrix GeneChips. [My Copy] BMC Bioinformatics, Vol. 8 (2007) by M. A. Stalteri, A. P. Harrison posted to analysis analysisinstrumentationmethods and animals array artifacts dna equipment expression factorsgenetics failure gene genetics mice of oligonucleotide probesgenetics profilingmethods reproducibility results sensitivity sequence specificity transcription variation binfbib import by bertelsen on 2007-06-19 17:46:12 as

Note: You may cite this page as: http://www.citeulike.org/user/bertelsen/tag/gene

microarray	223
analysis	129
review	125
gene-expression	124
systems-biology	95
bayesian	92
cancer	78
expression	59
networks	57
affymetrix	48
gene	46
annotation	44
functional-genomics	44
software	44
biology	42
tool	42
model	40
network	38
regulation	38
modelling	36
data	34
bioinformatics	31
disease	29
modeling	29
pathway	28
genechip	27
models	27
rna	27
human	26
polyadenylation	26
drug-discovery	25
clustering	24
multi-scale	24
oligonucleotide	24
gene-regulation	23
ontology	23
biochemical	22
probe	22
inference	21
degradation	20
differential	20
molecular	20
mrna	20
probability	20
transcription	20
dynamic	19
factor-analysis	19
database	18
integrative	18
probe-level	18
stochastic	18
chemical	17
mathematical	17
probabilistic	17
simulation	17
dirichlet-process	16
function	16
integration	16
kinetic	16
nonparametric	16
algorithm	15
comparison	15
computational	15
drug	15
experiment	15
genome	15
genomics	15
high-throughput	15
r	15
sampling	15
sequence	15
statistical	15
structure	15
theory	15
enrichment-analysis	14
gastric	14
noise	14
normalization	14
prediction	14
python	14
regression	14
array	13
biochemical-systems-theory	13
bioconductor	13
classification	13
control	13
framework	13
go	13
interpretation	13
mirna	13
pathways	13
personalized-medicine	13
phenotype	13
protein	13
statistics	13
therapy	13
algorithms	12
clinical	12
complexity	12
hierarchical	12
latent	12
mechanism	12
modules	12
promoter	12
transcriptome	12
computational-biology	11
distribution	11
evolution	11
non-protein-coding	11
oncogenesis	11
quality	11
sparse	11
tumour	11
alternative	10
genetic	10
integrating	10
mcmc	10
mixture	10
modular	10
proteomics	10
quantitative	10
systems	10
test	10
uncertainty	10
3-utr	9
biomedical	9
biophysics	9
cell-biology	9
data-integration	9
design	9
diagnostic	9
discovery	9
dna	9
hypothesis	9
information	9
interactions	9
large-scale	9
machine-learning	9
method	9
methodology	9
multiple	9
quality-control	9
selection	9
s-system	9
therapeutic	9
transcription-factor	9
visualization	9
background	8
experimental-design	8
heterogeneity	8
hybridization	8
ica	8
insilico	8
linear	8
measure	8
methods	8
overview	8
rnai	8
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systemic-computation	8
time-series	8
transcripts	8
utr	8
agent-based	7
binary	7
development	7
drug-target	7
emergent-properties	7
infection	7
invivo	7
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multivariate	7
organization	7
pathology	7
physiology	7
rats	7
specificity	7
tiling	7
time-course	7
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cdna	6
chip-chip	6
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databases	6
epigenetic	6
evolutionary-computation	6
feature	6
genetics	6
graphs	6
mammalian	6
matrix-factorization	6
metabolomics	6
nonlinear	6
pathway-analysis	6
pattern	6
pre-processing	6
primary	6
prior	6
processes	6
profiles	6
reactions	6
reverse-engineering	6
rna-seq	6
scientific	6
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summary	6
thermodynamics	6
tumor	6
upt	6
apoptosis	5
baysian	5
bias	5
binfbib	5
biomarker	5
book	5
cell-cycle	5
comparative	5
correction	5
dependence	5
encode	5
environment	5
error	5
eukaryotic	5
false	5
gaussian	5
gene-function	5
genome-wide	5
gibbs	5
identification	5
import	5
invitro	5
kidney	5
localization	5
measurement	5
medical	5
membrane	5
metabolic-network	5
ncrna	5
nmd	5
nonsense-mediated	5
normal	5
ontologies	5
optimization	5
pca	5
physical	5
process	5
profiling	5
profilingmethods	5
protein-expression	5
quality-assessment	5
quantitative-trait-loci	5
sensitivity	5
signal	5
simulations	5
splicing	5
synthesis	5
time	5
topological	5
treatment	5
truncated	5
unknown	5
variation	5
variational	5
5-utr	4
animals	4
approximation	4
biomolecular	4
cage	4
cell	4
circuits	4
co-expression	4
co-regulation	4
decay	4
diversity	4
dynamics	4
endolymphatic-sac	4
entropy	4
estimation	4
exons	4
exploratory	4
filtering	4
gastric-cancer-group	4
gene-set-analysis	4
global	4
graphical-modelling	4
grid	4
guide	4
high-dimensional	4
hybrid	4
inflammation	4
inhibitors	4
inner-ear	4
interface	4
knowledge-based	4
literature	4
local	4
map	4
mechanistic	4
metabolic-control-analysis	4
mice	4
mining	4
mixtures	4
motif	4
nested	4
ode	4
ordinal	4
pharmacogenomic	4
philosophy	4
physics	4
post-transcriptional	4
power-laws	4
prognosis	4
sequence-analysis	4
signals	4
signature	4
signatures	4
standard	4
steady-state	4
survey	4
tissue-specific	4
toxoplasma	4
transcript	4
transformation	4
web	4
accuracy	3
adjustment	3
affinity	3
affy	3
alignment	3
amplification	3
analysismethods	3
assessment	3
associations	3
automatic	3
bacteria	3
beta	3
calibration	3
cell-lines	3
characteristics	3
chemical-master-equation	3
chemotherapy	3
chip-seq	3
chromatin	3
chromosomal-expression	3
combinatorial	3
component	3
correlation	3
dataset	3
differential-equation	3
differentiation	3
dirichlet	3
distributions	3
dynamical-systems	3
enzyme	3
evaluation	3
exchangeability	3
fdr	3
gene-circuits	3
generalized	3
genes	3
genotyping	3
histological	3
hmm	3
humans	3
identifiability	3
independence	3
interference	3
introduction	3
languages	3
learning	3
management	3
medicine	3
metastatic	3
model-selection	3
modularity	3
multinomial	3
natural	3
nonnegative	3
nuclear	3
parasitology	3
pattern-recognition	3
performance	3
perturbation	3
polymerase	3
random	3
ranking	3
regulators	3
renormalization-group-analysis	3
repository	3
reproducibility	3
resonance	3
resource	3
robust	3
signaling-system	3
signal-transduction	3
snp	3
stochastic-resonance	3
structural-biology	3
tumorigenesis	3
unsupervised	3
3	2
5	2
acid	2
anatomy	2
approximate	2
approximations	2
behaviour	2
benchmark	2
biopython	2
buffet	2
cdf	2
cell-migration	2
cell-population	2
cells	2
chromosome-wide	2
comment	2
community	2
constraint-based-modelling	2
copy-number-variation	2
cox-theorem	2
cross-hybridization	2
cross-laboratory	2
cross-platform	2
cross-study	2
cytoplasmic	2
definition	2
density	2
detection	2
deterministic	2
difference	2
distance	2
dsrna	2
epithelial	2
evidence	2
exon	2
false-discovery	2
for:birte	2
format	2
foundations	2
fractal	2
game-theory	2
gamma	2
generative	2
genotype	2
grid-computing	2
health	2
heart	2
heterogeneous	2
homologous	2
image-processing	2
immune-system	2
indian	2
internet	2
isoform	2
knowledgebase	2
kullback-leibler	2
lasso	2
logic	2
lung	2
mage	2
mass_spectroscopy	2
matlab	2
matrix	2
matroid	2
memory	2
metabolic	2
methylation	2
miame	2
mismatch	2
missing-value	2
mitochondria	2
molecular-connectivity-map	2
multi-target	2
mutations	2
neuroscience	2
nonequilibrium	2
non-specific	2
nucleic	2
numerical	2
octave	2
oncogene-addiction	2
opensource	2
organ	2
parallel	2
parts	2
p-bodies	2
perspective	2
pharmacogenomics	2
phenome	2
physiome	2
pipelines	2
plant	2
plausibility	2
poly	2
post-transcription	2
preprocessing	2

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