about
How does multiple testing correction work?Quantifying the white blood cell transcriptome as an accessible window to the multiorgan transcriptome.Hepatic gene expression profiling reveals key pathways involved in leptin-mediated weight loss in ob/ob mice.ParaSAM: a parallelized version of the significance analysis of microarrays algorithmEnhanced T cell lymphoma in NOD.Stat5b transgenic mice is caused by hyperactivation of Stat5b in CD8+ thymocytes.Investigating the Role of Gene-Gene Interactions in TB Susceptibility.Tandem Mass Spectrum Identification via Cascaded Search.Significance Analysis of Microarrays (SAM) Offers Clues to Differences Between the Genomes of Adult Philadelphia Positive ALL and the Lymphoid Blast Transformation of CML.Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distributionGenome-wide analysis of blood gene expression in migraine implicates immune-inflammatory pathways.Homology cluster differential expression analysis for interspecies mRNA-Seq experiments.Q-GDEMAR: a general method for the identification of differentially expressed genes in microarrays with unbalanced groups.Two-group comparisons of zero-inflated intensity values: the choice of test statistic matters.A comparison of two classes of methods for estimating false discovery rates in microarray studies.Multiple hypothesis testing in proteomics: a strategy for experimental work.
P2860
Q28267689-51878428-8227-42BA-B2B7-D26029A9BC21Q30505781-2131DD16-4A01-42DF-9A4F-4959641D40B7Q33680916-86002B1A-6BB9-4530-BEFF-F0214AE2ED57Q33857318-6F84971D-6F92-4981-B28B-10C406475CE8Q34606927-F2ADBC26-CCBA-46DB-A463-81A9D35ACB7FQ35616623-C234A928-6867-44D7-80A3-020BC85DFD5AQ35944345-DF9B3C77-A215-4060-BCA3-D6FD0B8D248AQ36251718-2B737EE8-E124-4ABD-A20F-949C8A973C98Q37611099-C8E707B8-A58C-451B-9AE1-C48CF82FB062Q39036735-E6F0CE08-24A9-4AFC-B64C-3713300F12FAQ40288043-0E2C8558-D28A-4EAD-B00B-FE34B6A041BBQ40326704-B3F6CBB7-5A1E-477B-8149-070C1A178ABDQ41194961-3500B6D7-D486-4A30-8D7A-AFE1559D91E9Q41811886-46D0FE6F-9DCD-4E2D-B7D4-FE72E734054EQ42173706-93240F2A-F4F8-4330-82C8-54C003314396
P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Comments on the analysis of unbalanced microarray data.
@ast
Comments on the analysis of unbalanced microarray data.
@en
type
label
Comments on the analysis of unbalanced microarray data.
@ast
Comments on the analysis of unbalanced microarray data.
@en
prefLabel
Comments on the analysis of unbalanced microarray data.
@ast
Comments on the analysis of unbalanced microarray data.
@en
P2860
P356
P1433
P1476
Comments on the analysis of unbalanced microarray data
@en
P2093
Kathleen F Kerr
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP363
P407
P577
2009-06-15T00:00:00Z