chad_davis's feature_selection [44 articles] Export

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	Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys. [My Copy] BMC structural biology, Vol. 8 (08 December 2008), 53. by Dan M. Bolser, Ioannis Filippis, Henning Stehr, Jose Duarte, Michael Lappe posted to algorithm binding feature_selection ppi proj_interprets statistics structure validation by chad_davis on 2008-12-18 20:51:09 as along with 3 people tcschen RamuAnandakrishnan krapnik
	Learning to Select Features using their Properties [My Copy] Journal of Machine Learning Research, Vol. 9 (October 2008), pp. 2349-2376. by Eyal Krupka, Amir Navot, Naftali Tishby posted to algorithm classification feature_selection by chad_davis on 2008-11-03 08:25:14 as along with 3 people shpigi sdvillal jjrodriguez
	The Rough Guide to In Silico Function Prediction, or How To Use Sequence and Structure Information To Predict Protein Function [My Copy] PLoS Comput Biol, Vol. 4, No. 10. (31 October 2008), e1000160. by Marco Punta, Yanay Ofran posted to algorithm annotation classification feature_selection review structure by chad_davis on 2008-11-03 08:17:22 as along with 18 people and 1 group kiekyon Thaverkamp niallhaslam daforerog Zalanszabo bpcusack Katje joseph_x_zhou taguchi sjcockell markchen ptrobajo druvus mdstobbe giovenko nilanjanroy reyez GeeSharpMinor microbiology_nijmegen
	The C1C2: a framework for simultaneous model selection and assessment. [My Copy] BMC bioinformatics, Vol. 9, No. 1. (2008) by Martin Eklund, Ola Spjuth, Jarl Wikberg posted to algorithm classification feature_selection proj_stabperf statistics validation by chad_davis on 2008-09-02 12:38:06 as along with 2 people guhjy nuin
	Designing succinct structural alphabets [My Copy] Bioinformatics, Vol. 24, No. 13. (1 July 2008), pp. i182-189. by Shuai C. Li, Dongbo Bu, Xin Gao, Jinbo Xu, Ming Li posted to algorithm alignment annotation chemistry feature_selection proj_assembly structure by chad_davis on 2008-07-05 16:11:37 as along with 1 person marck
	Intrinsic disorder prediction from the analysis of multiple protein fold recognition models. [My Copy] Bioinformatics (Oxford, England) (25 June 2008) by Liam J. J. Mcguffin posted to algorithm classification data_integration disorder ensemble feature_selection proj_disocons structure service by chad_davis on 2008-06-29 10:59:50 as
	Taking advantage of local structure descriptors to analyze interresidue contacts in protein structures and protein complexes [My Copy] Proteins: Structure, Function, and Bioinformatics, Vol. 9999, No. 9999. (2008), NA. by Juliette Martin, Leslie Regad, Catherine Etchebest, Anne C. Camproux posted to algorithm complexes feature_selection proj_assembly proj_interprets statistics structure binding by chad_davis on 2008-06-15 13:54:46 as
	POODLE-S: Web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position specific scoring matrix. [My Copy] Bioinformatics (28 June 2007) by Kana Shimizu, Shuichi Hirose, Tamotsu Noguchi posted to algorithm classification disorder feature_selection proj_disocons service by chad_davis on 2008-04-28 15:27:18 as
	Universally sloppy parameter sensitivities in systems biology models. [My Copy] PLoS computational biology, Vol. 3, No. 10. (1 October 2007), pp. 1871-1878. by Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal P. Casey, Kevin S. Brown, Christopher R. Myers, James P. Sethna posted to feature_selection networks by chad_davis on 2008-02-25 10:01:33 as along with 6 people PaperCollector schwartzjmc aheilbut jjray csgillespie jooce
	NOXclass: prediction of protein-protein interaction types. [My Copy] BMC Bioinformatics, Vol. 7 (2006) by H. Zhu, F. S. Domingues, I. Sommer, T. Lengauer posted to classification feature_selection algorithm binding by chad_davis on 2008-01-24 16:30:44 as along with 4 people bicko conkymacro marti jteyra
	SignS: a parallelized, open-source, freely available, web-based tool for gene selection and molecular signatures for survival and censored data [My Copy] BMC Bioinformatics, Vol. 9, No. 1. (2008) by Ramon D. Uriarte posted to classification feature_selection microarray proj_stabperf service by chad_davis on 2008-01-22 10:12:49 as along with 4 people guhjy aalibes frohike jfr
	Algebraic stability indicators for ranked lists in molecular profiling [My Copy] Bioinformatics, Vol. 24, No. 2. (15 January 2008), pp. 258-264. by Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello posted to feature_selection microarray statistics proj_stabperf by chad_davis on 2008-01-15 18:28:48 as along with 4 people ptrobajo guhjy jfr barriot
	OSCAR: One-class SVM for Accurate Recognition of Cis-elements [My Copy] Bioinformatics (5 October 2007), btm473. by Bo Jiang, Michael Q. Zhang, Xuegong Zhang posted to algorithm proj_credo classification feature_selection gene_regulation by chad_davis on 2007-11-19 10:24:43 as along with 7 people suizifish cassj tmmurali cabbagezs maximilianh idonaldson isimpson
	A review of feature selection techniques in bioinformatics [My Copy] Bioinformatics, Vol. 23, No. 19. (1 August 2007), pp. 2507-2517. by Yvan Saeys, I, Pedro L. naga posted to feature_selection review statistics proj_bachelor by chad_davis on 2007-11-06 18:07:56 as along with 27 people and 1 group Shibby zufar stharward jjrodriguez briordan phoenixzxl ipark-kaist prerna svozil bertelsen VGreiff rsantana druvus jfr giovenko guhjy aviad_work frohike grahamc shigepong lp2 cabbagezs ryanraaum vietanh0 eacosta aaalxy srp33 Bioinformatics
	POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions [My Copy] Bioinformatics, Vol. 23, No. 16. (15 August 2007), pp. 2046-2053. by Shuichi Hirose, Kana Shimizu, Satoru Kanai, Yutaka Kuroda, Tamotsu Noguchi posted to proj_disocons classification disorder feature_selection by chad_davis on 2007-09-13 16:08:33 as
	Fast protein fold recognition via sequence to structure alignment and contact capacity potentials. [My Copy] Pac Symp Biocomput (1996), pp. 53-72. by N. N. Alexandrov, R. Nussinov, R. M. Zimmer posted to algorithm feature_selection modelling statistics structure by chad_davis on 2007-08-30 09:15:23 as along with 1 person aengisch
	A novel ensemble learning method for de novo computational identification of DNA binding sites [My Copy] BMC Bioinformatics, Vol. 8 (12 July 2007), 249. by Arijit Chakravarty, Jonathan M. Carlson, Radhika S. Khetani, Robert H. Gross posted to algorithm download ensemble feature_selection gene_regulation proj_credo service by chad_davis on 2007-08-08 12:26:30 as along with 2 people and 1 group GustavoLacerda nklee Bioinformatics
	Empirical potentials and functions for protein folding and binding. [My Copy] Curr Opin Struct Biol, Vol. 7, No. 2. (April 1997), pp. 222-228. by S. Vajda, M. Sippl, J. Novotny posted to algorithm feature_selection modelling review statistics structure binding by chad_davis on 2007-07-25 12:35:46 as along with 2 people and 2 groups kgutwin marcius BioinfoCIPF SGU-CIPF
	Reliable gene signatures for microarray classification: assessment of stability and performance. [My Copy] Bioinformatics (31 July 2006) by Chad A. Davis, Fabian Gerick, Volker Hintermair, et al.Caroline C. Friedel, Katrin Fundel, Robert Kueffner, Ralf Zimmer posted to feature_selection microarray statistics by chad_davis on 2006-08-08 18:55:34 as along with 5 people jfr rdiaz efge incovoma ptrobajo
	Assessing stability of gene selection in microarray data analysis [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006) by Xing Qiu, Yuanhui Xiao, Alexander Gordon, Andrei Yakovlev posted to feature_selection proj_bachelor proj_stabperf by chad_davis on 2006-06-16 14:42:12 as along with 2 people gstiglic pure39
	Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence [My Copy] (1975) by John H. Holland posted to classic feature_selection algorithm by chad_davis on 2006-06-10 13:50:25 as along with 3 people sugaya martinthesis dlobo
	An Application of the Bootstrap 632+ Rule to Ecological Data [My Copy] (1997) by C. Furlanello, S. Merler, C. Chemini, A. Rizzoli posted to classification feature_selection by chad_davis on 2006-05-29 15:33:38 as
	Cross-validation and the bootstrap: Estimating the error rate of a prediction rule [My Copy] (1995) by B. Efron, R. Tibshirani posted to classification feature_selection by chad_davis on 2006-05-29 15:29:19 as along with 2 people and 1 group caporaso skrofej biomedical-nlp
	Bias Plus Variance Decomposition for Zero-One Loss Functions [My Copy] In Machine Learning: Proceedings of the Thirteenth International Conference (1996), pp. 275-283. by Ron Kohavi, David H. Wolpert edited by Lorenza Saitta posted to classification feature_selection by chad_davis on 2006-05-28 11:54:56 as along with 1 person sdvillal
	A Monotonic Measure for Optimal Feature Selection [My Copy] In ECML '98: Proceedings of the 10th European Conference on Machine Learning (1998), pp. 101-106. by Huan Liu, Hiroshi Motoda, Manoranjan Dash posted to feature_selection by chad_davis on 2006-05-24 21:46:15 as
	Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data. [My Copy] BMC Bioinformatics, Vol. 7 (2006) by X. Zhang, X. Lu, Q. Shi, et al.X. Q. Xu, H. C. Leung, L. N. Harris, J. D. Iglehart, A. Miron, J. S. Liu, W. H. Wong posted to classification feature_selection by chad_davis on 2006-05-23 16:07:33 as along with 5 people and 1 group xuzhe83 aviad_work sdvillal bundschu jianrong generif_paper
	PreBIND and Textomy -- mining the biomedical literature for protein-protein interactions using a support vector machine. [My Copy] BMC Bioinformatics, Vol. 4 (27 March 2003) by I. Donaldson, J. Martin, B. de Bruijn, et al.C. Wolting, V. Lay, B. Tuekam, S. Zhang, B. Baskin, G. D. Bader, K. Michalickova, T. Pawson, C. W. Hogue posted to classification feature_selection statistics data_mining by chad_davis on 2006-05-03 10:04:45 as along with 5 people and 2 groups henk-cul Effie blackbart satre bouncingbudha dbmi-nlp NaCTeM
	Prediction of cancer outcome with microarrays: a multiple random validation strategy. [My Copy] Lancet, Vol. 365, No. 9458. (11 February 2005), pp. 488-492. by S. Michiels, S. Koscielny, C. Hill posted to classification feature_selection microarray statistics by chad_davis on 2006-04-27 13:40:22 as along with 9 people and 1 group ptrobajo srp33 aviad_work frohike setar textoris jfr giovanni winterschlaefer GeschwindLab
	Selection bias in gene extraction on the basis of microarray gene-expression data [My Copy] Proc Natl Acad Sci USA, Vol. 99, No. 10. (14 May 2002), pp. 6562-6566. by C. Ambroise, G. J. Mclachlan posted to feature_selection microarray statistics by chad_davis on 2006-03-16 17:40:54 as along with 7 people stharward ipark-kaist gstiglic winterschlaefer kentsis evaf chiahuey
	Prediction error estimation: a comparison of resampling methods. [My Copy] Bioinformatics, Vol. 21, No. 15. (1 August 2005), pp. 3301-3307. by A. M. Molinaro, R. Simon, R. M. Pfeiffer posted to classification feature_selection statistics by chad_davis on 2006-03-12 13:55:53 as
	Bias in error estimation when using cross-validation for model selection [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (23 February 2006), 91. by Sudhir Varma, Richard Simon posted to classification feature_selection statistics by chad_davis on 2006-03-08 11:27:55 as along with 5 people srp33 librain gkvas guhjy rdiaz
	A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection [My Copy] In IJCAI (1995), pp. 1137-1145. by Ron Kohavi posted to classification feature_selection by chad_davis on 2006-03-05 17:32:46 as along with 10 people santhosh stanley bigga Ferran mad sdvillal lschilli fireman haiyeong Repton
	Gene selection using support vector machines with non-convex penalty. [My Copy] Bioinformatics, Vol. 22, No. 1. (1 January 2006), pp. 88-95. by H. H. Zhang, J. Ahn, X. Lin, C. Park posted to feature_selection by chad_davis on 2006-03-04 13:51:36 as along with 1 person jfr
	Feature Selection Methods: Genetic Algorithms vs. Greedy-like Search [My Copy] (1994) by H. Vafaie, I. Imam posted to feature_selection by chad_davis on 2006-03-04 12:13:29 as along with 1 person eacosta
	Feature selection algorithms: a survey and experimental evaluation [My Copy] Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on (2002), pp. 306-313. by L. C. Molina, L. Belanche, A. Nebot posted to feature_selection by chad_davis on 2006-03-04 12:02:16 as along with 2 people sdvillal eacosta
	Wrappers for feature subset selection [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 273-324. by Ron Kohavi, George H. John posted to feature_selection by chad_davis on 2006-03-04 11:55:05 as along with 7 people and 1 group davidr stharward h-chi ccpin sdvillal gabriprat amargoli PTT
	Feature Subset Selection within a Simulated Annealing DataMining Algorithm [My Copy] J. Intell. Inf. Syst., Vol. 9, No. 1. (1997), pp. 57-81. by Justin C. W. Debuse, Victor posted to feature_selection by chad_davis on 2006-03-04 11:35:58 as along with 1 person atbrew
	Bolstered error estimation [My Copy] Pattern Recognition, Vol. 37, No. 6. (June 2004), pp. 1267-1281. by Ulisses B. Neto, Edward Dougherty posted to classification feature_selection by chad_davis on 2006-02-25 18:17:06 as
	Superior feature-set ranking for small samples using bolstered error estimation. [My Copy] Bioinformatics, Vol. 21, No. 7. (1 April 2005), pp. 1046-1054. by C. Sima, Braga U. Neto, E. R. Dougherty posted to feature_selection microarray by chad_davis on 2005-12-09 09:48:13 as
	Text categorization with support vector machines: learning with many relevant features [My Copy] In Proceedings of ECML-98, 10th European Conference on Machine Learning, No. 1398. (1998), pp. 137-142. by Thorsten Joachims edited by Claire Nedellec, Céline Rouveirol posted to classification feature_selection data_mining by chad_davis on 2005-11-24 10:11:14 as along with 2 people tulaydemir jvdzwaan
	Gene Selection for Cancer Classification using Support Vector Machines [My Copy] Machine Learning, Vol. 46, No. 1-3. (2002), pp. 389-422. by Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik posted to classification feature_selection by chad_davis on 2005-11-19 19:06:27 as along with 4 people ujh gyuli archroad jianrong
	A theoretical characterization of linear SVM-based feature selection [My Copy] In ICML '04: Twenty-first international conference on Machine learning (2004) by Douglas Hardin, Ioannis Tsamardinos, Constantin F. Aliferis posted to feature_selection by chad_davis on 2005-11-19 18:48:01 as along with 3 people and 1 group olivierbousquet sdvillal bundschu generif_paper
	An introduction to variable and feature selection [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182. by Isabelle Guyon, Andre Elisseeff posted to feature_selection by chad_davis on 2005-11-19 10:23:01 as along with 7 people jeremygow cyberwulf eddymier jmetzen mercutio sdvillal pprett
	Filter versus wrapper gene selection approaches in DNA microarray domains. [My Copy] Artif Intell Med, Vol. 31, No. 2. (June 2004), pp. 91-103. by I. Inza, P. Larranaga, R. Blanco, A. J. Cerrolaza posted to feature_selection microarray by chad_davis on 2005-11-03 11:59:26 as along with 2 people and 1 group svozil sdvillal Bioinformatics

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structure	236
binding	152
algorithm	136
review	112
embl	98
proj_disocons	82
database	81
complexes	80
classic	79
classification	79
proj_assembly	66
evolution	64
statistics	64
networks	58
disorder	53
modelling	49
service	46
feature_selection	44
ppi	42
proj_credo	40
data_integration	36
download	36
gene_regulation	30
yeast	29
annotation	28
proj_interprets	27
toolkit	25
validation	24
clustering	22
experimental	20
alignment	19
microarray	18
disease	16
chemistry	15
non-redundant	12
proj_stabperf	11
ensemble	10
data_mining	9
mpi	9
docking	8
drug	7
proj_cct	6
proj_bachelor	4
distributed	3

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