misonneh's modeling [38 articles] Export

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	Time-modified confounding. [My Copy] American journal of epidemiology, Vol. 170, No. 6. (15 September 2009), pp. 687-694. by Robert W. Platt, Enrique F. Schisterman, Stephen R. Cole posted to statistics modeling dynamic confounder by misonneh on 2009-09-04 02:05:40 as along with 1 person guhjy
	Quantitative approaches in developmental biology [My Copy] Nat Rev Genet, Vol. 10, No. 8. (August 2009), pp. 517-530. by Andrew C. Oates, Nicole Gorfinkiel, Marcos Gonzalez-Gaitan, Carl-Philipp Heisenberg posted to system_biology review modeling by misonneh on 2009-08-19 01:08:29 as along with 4 people aaltenburger roys leliavski megraw
	Value of Adding Single-Nucleotide Polymorphism Genotypes to a Breast Cancer Risk Model [My Copy] J. Natl. Cancer Inst., Vol. 101, No. 13. (1 July 2009), pp. 959-963. by Mitchell H. Gail posted to breast genetics modeling by misonneh on 2009-07-08 01:59:11 as along with 1 person and 2 groups frohike MGEL Reading Breast Cancer Reading Club
	A mixture model approach in gene-gene and gene-environmental interactions for binary phenotypes. [My Copy] Journal of biopharmaceutical statistics, Vol. 18, No. 6. (November 2008), pp. 1150-1177. by L. Li, M. Yu, R. D. Jason, et al.C. Shen, F. Azzouz, H. L. McLeod, S. Borges-Gonzales, A. Nguyen, T. Skaar, Z. Desta, C. J. Sweeney, D. A. Flockhart posted to gxe gxg modeling pharmacogenetics phenotype by misonneh on 2009-07-07 02:47:00 as
	Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling [My Copy] Cancer Res, Vol. 69, No. 10. (15 May 2009), pp. 4484-4492. by Hermann B. Frieboes, Mary E. Edgerton, John P. Fruehauf, et al.Felicity R. Rose, Lisa K. Worrall, Robert A. Gatenby, Mauro Ferrari, Vittorio Cristini posted to breast insilico modeling pharmacogenetics prediction response by misonneh on 2009-05-21 05:34:43 as
	Beyond the Gail model: lobular involution may help refine breast cancer risk assessment. [My Copy] Journal of the National Cancer Institute, Vol. 101, No. 3. (4 February 2009), pp. 134-135. by K. Rowan posted to modeling breast prediction statistics by misonneh on 2009-03-19 07:53:42 as
	Why Are a High Overdiagnosis Probability and a Long Lead Time for Prostate Cancer Screening So Important? [My Copy] J. Natl. Cancer Inst., Vol. 101, No. 6. (18 March 2009), pp. 362-363. by Michael J. Barry, Albert J. Mulley posted to comments diagnosis modeling prostate by misonneh on 2009-03-18 00:43:40 as
	Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk. [My Copy] Journal of the National Cancer Institute, Vol. 101, No. 6. (18 March 2009), pp. 384-398. by Steven R. Cummings, Jeffrey A. Tice, Scott Bauer, et al.Warren S. Browner, Jack Cuzick, Elad Ziv, Victor Vogel, John Shepherd, Celine Vachon, Rebecca Smith-Bindman, Karla Kerlikowske posted to tamoxifen risk_assessment review prevention modeling meta_analysis chemoprevention breast by misonneh on 2009-03-18 00:39:25 as along with 1 person and 1 group Zephyrus Breast Cancer Reading Club
	Visual analysis of statistical results from microarray studies of human breast cancer. [My Copy] Oncology reports, Vol. 15 Spec no. (2006), pp. 1043-1047. by D. M. Reif, J. H. Moore posted to epistasis modeling by misonneh on 2009-02-16 05:31:40 as
	Interacting models of cooperative gene regulation. [My Copy] Proc Natl Acad Sci U S A, Vol. 101, No. 46. (16 November 2004), pp. 16234-16239. by D. Das, N. Banerjee, M. Q. Zhang posted to gxg modeling statistics epistasis by misonneh on 2009-02-15 06:26:15 as along with 4 people roys jfr Ao_Li2007 lambda
	Multivariate adaptive regression splines: a powerful method for detecting disease-risk relationship differences among subgroups. [My Copy] Statistics in medicine, Vol. 25, No. 8. (30 April 2006), pp. 1355-1367. by T. P. York, L. J. Eaves, E. J. van den Oord posted to gxe gxg modeling statistics epistasis by misonneh on 2009-02-15 06:24:38 as along with 1 person guhjy
	Interactions of cytokine gene polymorphisms in prostate cancer risk. [My Copy] Carcinogenesis, Vol. 29, No. 3. (March 2008), pp. 573-578. by J. Zabaleta, H. Y. Lin, R. A. Sierra, et al.M. C. Hall, P. E. Clark, O. A. Sartor, J. J. Hu, A. C. Ochoa posted to gxg modeling statistics epistasis by misonneh on 2009-02-15 06:17:14 as
	Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction [My Copy] Journal of Computer-Aided Molecular Design, Vol. 22, No. 11. (1 November 2008), pp. 843-855. by Haiyan Li, Jin Sun, Xiaowen Fan, et al.Xiaofan Sui, Lan Zhang, Yongjun Wang, Zhonggui He posted to modeling qsar by misonneh on 2009-02-15 06:15:09 as along with 2 people LamBras sschurer
	Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP-SNP interactions and their application in prostate cancer. [My Copy] Journal of human genetics, Vol. 53, No. 9. (2008), pp. 802-811. by H. Y. Lin, W. Wang, Y. H. Liu, et al.S. J. Soong, T. P. York, L. Myers, J. J. Hu posted to epistasis modeling prostate statistics by misonneh on 2009-02-15 06:12:45 as along with 1 person guhjy
	A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality. [My Copy] Stat Med, Vol. 26, No. 15. (10 July 2007), pp. 2937-2957. by P. C. Austin posted to modeling statistics by misonneh on 2009-02-15 05:55:54 as along with 1 person guhjy
	Metabolic syndrome: from epidemiology to systems biology [My Copy] Nat Rev Genet, Vol. 9, No. 11. (November 2008), pp. 819-830. by Aldons J. Lusis, Alan D. Attie, Karen Reue posted to modeling metabolomics review system_biology by misonneh on 2009-01-19 07:38:03 as along with 6 people and 1 group Sonix Zephyrus omalbam guhjy ptrobajo fernandaleite1 R.E.A.D
	Stochastic modelling for quantitative description of heterogeneous biological systems [My Copy] Nature Reviews Genetics, Vol. 10, No. 2. (01 February 2009), pp. 122-133. by Darren J. Wilkinson posted to modeling review system_biology by misonneh on 2009-01-19 05:11:21 as along with 12 people and 1 group pjmaybank pkm mhellmann vingron dah paulschlesinger jbhiatt guhjy tinatoni rdiaz Zephyrus xingxu Roswell Cancer Crosstalk
	A critical evaluation of the experimental design of studies of mechanism based enzyme inhibition, with implications for in vitro-in vivo extrapolation. [My Copy] Current drug metabolism, Vol. 7, No. 3. (April 2006), pp. 315-334. by F. Ghanbari, K. Rowland-Yeo, J. C. Bloomer, et al.S. E. Clarke, M. S. Lennard, G. T. Tucker, A. Rostami-Hodjegan posted to ivive modeling by misonneh on 2008-12-19 06:56:20 as
	Scaling factors for the extrapolation of in vivo metabolic drug clearance from in vitro data: reaching a consensus on values of human microsomal protein and hepatocellularity per gram of liver. [My Copy] Current drug metabolism, Vol. 8, No. 1. (January 2007), pp. 33-45. by Z. E. Barter, M. K. Bayliss, P. H. Beaune, et al.A. R. Boobis, D. J. Carlile, R. J. Edwards, J. B. Houston, B. G. Lake, J. C. Lipscomb, O. R. Pelkonen, G. T. Tucker, A. Rostami-Hodjegan posted to ivive modeling review by misonneh on 2008-12-19 06:52:59 as
	Prediction of metabolic drug clearance in humans: In vitroin vivo extrapolation vs allometric scaling [My Copy] Xenobiotica, Vol. 36, No. 7. (July 2006), pp. 567-580. by Shiran, M. R., Proctor, et al. N. J., Howgate, E. M., Rowland-Yeo, K., Tucker, G. T., Rostami-Hodjegan, A. posted to ivive modeling by misonneh on 2008-12-19 06:50:15 as
	Mechanism-based inactivation of human cytochrome P450 enzymes: strategies for diagnosis and drug-drug interaction risk assessment. [My Copy] Xenobiotica, Vol. 37, No. 10-11. (v 2007), pp. 1225-1256. by K. Venkatakrishnan, R. S. Obach, A. Rostami-Hodjegan posted to ivive modeling by misonneh on 2008-12-19 06:49:52 as
	In vitro-in vivo extrapolation of hepatic clearance involving active uptake: theoretical and experimental aspects. [My Copy] Xenobiotica, Vol. 37, No. 10-11. (v 2007), pp. 1090-1109. by P. J. Webborn, A. J. Parker, R. L. Denton, R. J. Riley posted to ivive modeling by misonneh on 2008-12-19 06:49:12 as
	In vitro-in vivo extrapolation of hepatic clearance: biological tools, scaling factors, model assumptions and correct concentrations. [My Copy] Xenobiotica, Vol. 37, No. 10-11. (v 2007), pp. 1066-1089. by O. Pelkonen, M. Turpeinen posted to ivive modeling by misonneh on 2008-12-19 06:48:45 as
	Modelling and simulation in drug absorption processes. [My Copy] Xenobiotica, Vol. 37, No. 10-11. (v 2007), pp. 1052-1065. by A. Dokoumetzidis, G. Valsami, P. Macheras posted to ivive modeling by misonneh on 2008-12-19 06:48:24 as
	Modelling and simulation in prediction of human xenobiotic absorption, distribution, metabolism and excretion (ADME): in vitro-in vivo extrapolations (IVIVE). [My Copy] Xenobiotica, Vol. 37, No. 10-11. (v 2007), pp. 1013-1014. by G. G. Gibson, A. Rostami-Hodjegan posted to ivive modeling by misonneh on 2008-12-19 06:47:33 as along with 1 person Zephyrus
	A model citizen? Is tamoxifen more effective than aromatase inhibitors if we pick the right patients? [My Copy] Journal of the National Cancer Institute, Vol. 100, No. 9. (7 May 2008), pp. 610-613. by D. F. Hayes, V. Stearns, J. Rae, D. Flockhart, posted to breast comments cyp2d6 modeling resistance tamoxifen by misonneh on 2008-11-19 05:18:07 as
	Re: Pharmacogenomic variation of CYP2D6 and the choice of optimal adjuvant endocrine therapy for postmenopausal breast cancer: a modeling analysis. [My Copy] Journal of the National Cancer Institute, Vol. 100, No. 18. (17 September 2008) by D. Gurwitz, W. Newman posted to breast comments cyp2d6 modeling pharmacogenetics survival tamoxifen by misonneh on 2008-11-19 05:17:27 as
	Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer. [My Copy] Journal of the National Cancer Institute, Vol. 100, No. 14. (16 July 2008), pp. 978-979. by M. S. Pepe, H. E. Janes posted to breast comments genetics modeling by misonneh on 2008-10-29 09:46:29 as along with 2 people and 1 group guhjy Zephyrus Breast Cancer Reading Club
	Discriminatory Accuracy From Single-Nucleotide Polymorphisms in Models to Predict Breast Cancer Risk [My Copy] J. Natl. Cancer Inst., Vol. 100, No. 14. (16 July 2008), pp. 1037-1041. by Mitchell H. Gail posted to breast genetics modeling prediction by misonneh on 2008-10-29 09:45:03 as along with 2 people and 1 group Zephyrus srp33 Breast Cancer Reading Club
	Assessment of the Accuracy of the Gail Model in Women With Atypical Hyperplasia. [My Copy] Journal of Clinical Oncology (14 October 2008) by Shane, Lynn C. C. Hartmann, Amy C. C. Degnim, et al.Robert A. A. Vierkant, Karthik Ghosh, Celine M. M. Vachon, Marlene H. H. Frost, Shaun D. D. Maloney, Carol Reynolds, Judy C. C. Boughey posted to benign breast modeling by misonneh on 2008-10-29 09:44:21 as along with 1 person and 1 group Zephyrus Breast Cancer Reading Club
	Performance of BRCA1/2 Mutation Prediction Models in Asian Americans [My Copy] J Clin Oncol, Vol. 26, No. 29. (10 October 2008), pp. 4752-4758. by Allison W. Kurian, Gail D. Gong, Nicolette M. Chun, et al.Meredith A. Mills, Ashley D. Staton, Kerry E. Kingham, Beth B. Crawford, Robin Lee, Salina Chan, Susan S. Donlon, Yolanda Ridge, Karen Panabaker, Dee W. West, Alice S. Whittemore, James M. Ford posted to brca12 modeling prediction by misonneh on 2008-10-09 08:15:11 as
	A mathematical model of the folate cycle: new insights into folate homeostasis. [My Copy] Journal of Biological Chemistry, Vol. 279, No. 53. (31 December 2004), pp. 55008-55016. by H. F. Nijhout, M. C. Reed, P. Budu, C. M. Ulrich posted to folate moa modeling review by misonneh on 2008-09-23 21:26:14 as along with 1 person zohim1
	Mathematical modeling: epidemiology meets systems biology. [My Copy] Cancer Epidemiology, Biomarkers and Prevention, Vol. 15, No. 5. (May 2006), pp. 827-829. by C. M. Ulrich, H. F. Nijhout, M. C. Reed posted to comments modeling by misonneh on 2008-09-23 21:25:43 as
	A mathematical model gives insights into nutritional and genetic aspects of folate-mediated one-carbon metabolism. [My Copy] Journal of Nutrition, Vol. 136, No. 10. (October 2006), pp. 2653-2661. by M. C. Reed, H. F. Nijhout, M. L. Neuhouser, et al.J. F. Gregory, B. Shane, S. J. James, A. Boynton, C. M. Ulrich posted to 1-carbon diet folate modeling by misonneh on 2008-09-23 21:25:13 as
	Long-range allosteric interactions between the folate and methionine cycles stabilize DNA methylation reaction rate. [My Copy] Epigenetics, Vol. 1, No. 2. (n 2006), pp. 81-87. by H. F. Nijhout, M. C. Reed, D. F. Anderson, J. C. Mattingly, S. J. James, C. M. Ulrich posted to epigenetics folate gxe methylation modeling by misonneh on 2008-09-23 21:24:30 as
	Mathematical modeling of folate metabolism: predicted effects of genetic polymorphisms on mechanisms and biomarkers relevant to carcinogenesis. [My Copy] Cancer Epidemiology, Biomarkers and Prevention, Vol. 17, No. 7. (July 2008), pp. 1822-1831. by C. M. Ulrich, M. Neuhouser, A. Y. Liu, et al.A. Boynton, J. F. Gregory, B. Shane, S. J. James, M. C. Reed, H. F. Nijhout posted to 1-carbon biomarker folate genetics modeling by misonneh on 2008-09-23 21:23:30 as
	Modeling folate, one-carbon metabolism, and DNA methylation. [My Copy] Nutrition reviews, Vol. 66 Suppl 1 (August 2008) by C. M. Ulrich, M. C. Reed, H. F. Nijhout posted to 1-carbon folate gxe methylation modeling by misonneh on 2008-09-23 21:22:26 as
	Pharmacogenomic variation of CYP2D6 and the choice of optimal adjuvant endocrine therapy for postmenopausal breast cancer: a modeling analysis. [My Copy] Journal of the National Cancer Institute, Vol. 100, No. 9. (7 May 2008), pp. 642-648. by Rinaa S. Punglia, Harold J. Burstein, Eric P. Winer, Jane C. Weeks posted to breast cyp2d6 modeling pharmacogenetics resistance tamoxifen by misonneh on 2008-09-16 21:31:38 as along with 1 person Mi-Seon

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review	312
breast	263
genetics	168
epigenetics	161
methylation	153
pharmacogenetics	143
statistics	90
gene_specific_methylation	66
biomarker	65
comments	65
gwas	64
prognosis	61
meta_analysis	55
association	54
tamoxifen	53
chemotherapy	50
moa	47
peripheral	47
gxe	46
diet	43
folate	40
modeling	38
response	38
resistance	36
survival	36
guideline	35
global	33
prediction	33
epidemiology	31
adr	30
epistasis	30
dynamic	28
korean	28
prostate	28
time_to_event	28
technology	27
diagnosis	26
haplotype	26
cyp2d6	23
expression	23
race	23
neoadjuvant	22
circ_dna	21
colon	21
instability	21
environment	20
prevention	20
database	19
progression	19
lung	17
perspective	17
pooling	17
risk_factor	17
line1	16
therapy	16
immunity	15
target_dna	14
1-carbon	13
clinic	13
hr	13
invivo	13
kfdap_112909	13
phenotype	13
randomized_controlled_trial	13
tool	13
5mdc	12
age	12
tutorial	12
gxg	11
hematology	11
metastasis	11
mirna	11
pk	11
bladder	10
data_mining	10
estrogen	10
exposure	9
her2	9
hormone	9
mdr1	9
pathway	9
smoking	9
bias	8
cancer	8
design	8
epilepsy	8
esr1	8
fda	8
gst	8
heterogeneity	8
ivive	8
lifestyle	8
reproductive	8
cnv	7
dnmt	7
etiology	7
hla	7
kim_	7
metabolism	7
mthfr	7
power	7
prenatal	7
subtypes	7
trend	7
alcohol	6
carbamazepine	6
cell	6
cohort	6
cyp450	6
ddi	6
dna_repair	6
drug_discovery	6
histone	6
hyper_hypo	6
maternal	6
methodology	6
pcb	6
summary	6
system_biology	6
array	5
benign	5
cervix	5
chemoprevention	5
fundamental_concept_s1	5
inheritance	5
intervention	5
mgmt	5
mhc	5
microarray	5
mortality	5
nos3	5
pet	5
translation	5
asian_populations	4
balanced	4
basal-like	4
bayesian	4
biobank	4
bmd	4
cimp	4
cns	4
detection	4
disparities	4
leukemia	4
linkage	4
ntissue	4
observation	4
pathology	4
refractory	4
transport	4
triple-negative	4
tsnp	4
aml	3
antioxidant	3
cluster	3
cyp1a1	3
cytokine	3
demethylation	3
egfr_pathway	3
fu	3
glioblastoma	3
hitchhiking	3
intrauterine	3
mds	3
metformin	3
molecular	3
ovarian	3
public	3
risk_assessment	3
ros	3
statin	3
sult1a1	3
sult1e1	3
swog	3
toxicity	3
validation	3
allergy	2
anthracycline	2
apoptosis	2
aromatase_inhibitor	2
aspirin	2
atm	2
benzopyrene	2
bisphenol	2
brain	2
brca	2
brca12	2
caret	2
childhood	2
classification	2
comt	2
consorcium	2
cyp2c19	2
cyp2e1	2
decitabine	2
definition	2
diabetes	2
endometrix	2
epigenetic_therapy	2
feature_selection	2
finasteride	2
fprp	2
genotype	2
grail	2
hematopoiety	2
immortalization	2
insilico	2
irinotecan	2
iron	2
isoflavone	2
kawasaki	2
key	2
ki67	2
lymphoma	2
mnsod	2
nqo1	2
nutrition	2
oral	2
ovary	2
parent_study	2
pharmacodynamic	2
phase	2
polycomb	2
protocol	2
quantitative_traits	2
radiotherapy	2
s8897	2
slco1b1	2
specimen	2
testicular	2
toxicology	2
tpmt	2
ugt	2
wnt	2
5-alpha_reductase	1
abacavir	1
acs	1
aldh1	1
aldh2	1
alkylating_agents	1
alternative	1
antidepressant	1
assay	1
azacitidine	1
benzene	1
bmp	1
casp8	1
cat	1
catechol	1
cbr3	1
cdk	1
cell_cycle_control	1
cisplatin	1
cml	1
compliance	1
confounder	1
consortium	1
cyclophosphamide	1
cyp19	1
cyp1a2	1
cyp1b1	1
cyp2c9	1
cyp3a4	1
dag	1
dcic	1
decision	1
diganosis	1
digoxin	1
ecadherin	1
endpoint	1
epidgenetics	1
example	1
family_hx	1
fastsnp	1
fmr1	1
fun	1
glioma	1
gpx1	1
gstp1	1
heritability	1
hif1a	1
histology	1
history	1
hnscc	1
ho1	1
hogg1	1
hpv	1
illumina	1
immunoprecipitation	1
index	1
infection	1
inflammtion	1
integration	1
interleukin	1
invitro	1
journal_club	1
lactation	1
lipidadjust	1
liver	1
mapping	1
maspin	1
mbd2	1
meta_anlaysis	1
metabolomics	1
meternal	1
methotrexate	1
mining	1
mpo	1
mrp3	1
multiple_myeloma	1
multitest	1
myc	1
networking	1
neurod1	1
nhs	1
no	1
nrf2	1
nsaid	1
nuclear_receptor	1
obesity	1
oncotypedx	1
opg	1
oralscc	1
osteoporosis	1
outcome	1
p53	1
parity	1
paternal	1
pax2	1
peakbmd	1
peripheral_blood	1
pharmacogenomics	1
pharmacokinetic_variability	1
phytoestrogen	1
plink	1
polymapr	1
polyphenol	1
population	1
practice	1
prevalence	1
proression	1
psychoses	1
qsar	1
rank	1
rcc	1
read_	1
resonse	1
rfc	1
s100p	1
sat2	1
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series	1
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src	1
steroid	1
stromal_component	1
tea	1
temozolomide	1
tgf	1
tgm2	1
tp53	1
twin_study	1
ugt1a1	1
warfarin	1
xpd	1
xrcc1	1
xrcc3	1

misonneh's modeling [38 articles] Export

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