about
Permutation-validated principal components analysis of microarray dataMicroarray analysis of gene expression in lupusSupervised clustering of genesCluster-Rasch models for microarray gene expression dataSemi-supervised methods to predict patient survival from gene expression dataSample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm.Outcome-Driven Cluster Analysis with Application to Microarray Data.Additive risk models for survival data with high-dimensional covariates.Indirect genomic effects on survival from gene expression dataBuckley-James boosting for survival analysis with high-dimensional biomarker data.Computational Analysis of Molecular Interaction Networks Underlying Change of HIV-1 Resistance to Selected Reverse Transcriptase Inhibitors.Survival associated pathway identification with group Lp penalized global AUC maximization.A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform.Microarrays in brain research: the good, the bad and the ugly.Gene network modular-based classification of microarray samples.Role of gene expression microarray analysis in finding complex disease genes.A novel comparative pattern analysis approach identifies chronic alcohol mediated dysregulation of transcriptomic dynamics during liver regenerationPublic databases and software for the pathway analysis of cancer genomes.ESPD: a pattern detection model underlying gene expression profiles.Gene expression analysis of an EGFR indirectly related pathway identified PTEN and MMP9 as reliable diagnostic markers for human glial tumor specimensSurvival analysis with high-dimensional covariates.Sparse regression and marginal testing using cluster prototypes.The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping.Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity.Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR.Consistent Group Identification and Variable Selection in Regression with Correlated Predictors.Data Shared Lasso: A Novel Tool to Discover UpliftPredicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression.An analytic approach for interpretable predictive models in high-dimensional data in the presence of interactions with exposures.
P2860
Q24793935-C7DE5954-9DC1-4298-8117-8664305154C8Q24795089-1AD20B9C-E682-4BC6-BD76-7EAAC92FCAD6Q24803113-B55EA4CB-5771-4ABD-8383-9920CC276D8DQ24803792-FF66969D-89D3-4847-A6AF-E64714B87EFDQ24804682-6B6BA9F3-2C38-45FB-B839-EB60C0FD7FBEQ24815085-10FBAC6B-A78E-46B9-A5D3-E564DC25C6E7Q31022246-3C6A1DAE-DF20-4993-8977-AD76EC501A74Q31034493-3CBED378-BD8E-42F7-8D0E-330CD09441C5Q31150308-87047EC8-E361-42D5-A9E2-2809E3180AFEQ33624066-B42D1BF7-7573-4B39-8F8C-4EBB5C27FBE7Q33793189-D79A6C5B-8A77-4D3B-9685-9FC873C29717Q34094159-CF7296CE-D743-4283-9524-DDCB748E7983Q34242041-A42D404C-EEDC-41E2-81CD-72E7C52899EBQ34271622-6D1B3304-F15D-4EC4-BA98-7D7C8D60D2AFQ34324671-D25BB84D-2B1B-4624-A835-A28F451CF3A3Q34733167-15AE2BD2-10EA-40A1-A8A1-4238298E2354Q35969738-7C3DA7FF-FD78-4C3E-A1DE-987D58469D98Q36696387-6A3E37EE-998A-4BB9-924A-0E26AFE18337Q36950901-D2CD97AC-D71D-4201-BB10-E672F0895229Q37282343-8838F426-9A6A-4A35-A78F-8933688DFF5DQ37572162-194D7F3D-8080-43EA-A40B-8DA02CDD1EF7Q38383312-A3E5B487-C6C0-4E4C-A034-2283BCED2CF7Q39288559-B2A918B2-F802-4723-AE1C-AE560587C8D9Q41514060-995B0150-5B8E-4D14-BEE8-84B306F25A2FQ41779347-C1E0B92D-4FD8-4605-A764-89E3BA205D9BQ42148686-42049213-320B-4EA1-A027-2AB158F36528Q42698240-1848F920-EF11-490B-BBD0-AB61378907A3Q47322162-F0A31C65-0F62-4373-9BD3-D3C8DC06A85BQ50103325-4B5D8267-4B8B-45C0-8A28-0132B268247F
P2860
description
2001 nî lūn-bûn
@nan
2001 թուականին հրատարակուած գիտական յօդուած
@hyw
2001 թվականին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Supervised harvesting of expression trees
@ast
Supervised harvesting of expression trees
@en
Supervised harvesting of expression trees
@nl
type
label
Supervised harvesting of expression trees
@ast
Supervised harvesting of expression trees
@en
Supervised harvesting of expression trees
@nl
prefLabel
Supervised harvesting of expression trees
@ast
Supervised harvesting of expression trees
@en
Supervised harvesting of expression trees
@nl
P2860
P50
P3181
P1433
P1476
Supervised harvesting of expression trees
@en
P2860
P304
RESEARCH0003
P3181
P356
10.1186/GB-2001-2-1-RESEARCH0003
P407
P577
2001-01-01T00:00:00Z
P5875
P6179
1031734484