Assessment method for a power analysis to identify differentially expressed pathways.
about
Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsEnhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it tooGene set analysis approaches for RNA-seq data: performance evaluation and application guidelineA knowledge-based T2-statistic to perform pathway analysis for quantitative proteomic data.Knowledge-fused differential dependency network models for detecting significant rewiring in biological networksThe impact of quantile and rank normalization procedures on the testing power of gene differential expression analysisSeparate enrichment analysis of pathways for up- and downregulated genes.Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets.Monte Carlo simulation of OLS and linear mixed model inference of phenotypic effects on gene expressionGene set analysis for self-contained tests: complex null and specific alternative hypotheses.A critical comparison of topology-based pathway analysis methods.
P2860
Q30580995-18697EF8-7E1A-4B53-971C-C7431B8371FDQ30709572-CBAED94D-DEBA-4911-826E-B1CAB18EA834Q30991698-D941DCEA-CCE7-4B73-8DB5-A43D60CE26A7Q33860424-1D070FB0-8E8F-4D73-BBA7-A4969962D956Q34038359-EAC0F45E-3369-4AF2-A6BA-5A0D4FFF7C57Q34665216-42481807-18E8-428D-A1FE-7FFE48E3AA21Q37507799-34B5B8F7-1781-4130-9532-DF5F8A124EE1Q38604275-8BBF9838-AF3B-49F1-B4FD-EA6428BB1632Q39051548-3C6110AA-BBD3-49EB-9F84-F29A88DE3DBFQ39269211-984C9A8D-EC22-4624-8A67-F164ACD4E7F7Q42027546-6D30D48E-C579-4C71-BC8C-C48B78A47B25Q48165717-595AB80C-5C64-42B8-962B-BC796552D95D
P2860
Assessment method for a power analysis to identify differentially expressed pathways.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Assessment method for a power analysis to identify differentially expressed pathways.
@ast
Assessment method for a power analysis to identify differentially expressed pathways.
@en
Assessment method for a power analysis to identify differentially expressed pathways.
@nl
type
label
Assessment method for a power analysis to identify differentially expressed pathways.
@ast
Assessment method for a power analysis to identify differentially expressed pathways.
@en
Assessment method for a power analysis to identify differentially expressed pathways.
@nl
prefLabel
Assessment method for a power analysis to identify differentially expressed pathways.
@ast
Assessment method for a power analysis to identify differentially expressed pathways.
@en
Assessment method for a power analysis to identify differentially expressed pathways.
@nl
P2860
P1433
P1476
Assessment method for a power analysis to identify differentially expressed pathways.
@en
P2093
Shailesh Tripathi
P2860
P304
P356
10.1371/JOURNAL.PONE.0037510
P407
P577
2012-05-18T00:00:00Z