A comprehensive re-analysis of the Golden Spike data: towards a benchmark for differential expression methods.
about
Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset.Literature aided determination of data quality and statistical significance threshold for gene expression studies.Variation-preserving normalization unveils blind spots in gene expression profiling.Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.Global gene expression in endometrium of high and low fertility heifers during the mid-luteal phase of the estrous cycle.Background correction using dinucleotide affinities improves the performance of GCRMA.Bayesian optimal discovery procedure for simultaneous significance testing.Ranking differentially expressed genes from Affymetrix gene expression data: methods with reproducibility, sensitivity, and specificity.puma: a Bioconductor package for propagating uncertainty in microarray analysis.A first principles approach to differential expression in microarray data analysis.A benchmark for statistical microarray data analysis that preserves actual biological and technical varianceA comparison of probe-level and probeset models for small-sample gene expression dataModeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliabilityPathEx: a novel multi factors based datasets selector web tool.Virulence plasmid harbored by uropathogenic Escherichia coli functions in acute stages of pathogenesis.Kernel density weighted loess normalization improves the performance of detection within asymmetrical data.Comparison of methods for identifying differentially expressed genes across multiple conditions from microarray data.Negative energy balance and hepatic gene expression patterns in high-yielding dairy cows during the early postpartum period: a global approach.puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis.Transcriptome analysis of porcine M. semimembranosus divergent in intramuscular fat as a consequence of dietary protein restriction.A wholly defined Agilent microarray spike-in dataset.A central metabolic circuit controlled by QseC in pathogenic Escherichia coli.Pleiotropic effects of negative energy balance in the postpartum dairy cow on splenic gene expression: repercussions for innate and adaptive immunity.Dietary n-3 polyunsaturated fatty acid supplementation alters the expression of genes involved in the control of fertility in the bovine uterine endometrium
P2860
Q30495306-964B1CFE-547B-449B-B773-BB12AABE4AB1Q30531263-0194501E-15AB-4E13-9905-7411D5E31FF0Q30841312-28C3020B-2DF8-4A8A-8288-3B44A0197E0BQ31016285-9A3CD0AB-805A-4C78-9014-AD8425183EFAQ31154677-05DD5B70-EDCE-4CAB-98F0-19B7C76E8696Q33378972-9B3C5E63-42A1-4C27-94D2-27209850815BQ33397855-BC345DEB-2B16-4864-AD63-00C755A5139EQ33433707-FCDE78AF-1C72-43E7-9D68-E2D6EDB388C9Q33480318-1EC3351D-63BB-4A7E-BE6A-DE3BB6CDBB47Q33503895-CA1B7044-56AE-4732-B8CE-74B14BFAC113Q33523166-BB01CC73-5BB4-49E6-A080-7A4B36CA795DQ33588167-15483A50-04FA-4F43-9C13-EE15D77D149BQ33721845-8894063B-75F5-45A4-85AB-4B8F444076E6Q33726219-E704945D-1518-476D-9DA9-627B040C4A4EQ33769094-6BC0A07D-CCFF-4A68-8025-81D4627D5D75Q33919167-DFED14E2-5439-4539-85EC-E085ADE8B675Q34163093-626B590E-5E41-4A21-A77D-6989FDCED5FAQ34432736-C3C4977B-C0A8-4AB7-B90B-1B644A8B12EEQ34573778-8189AAB1-7027-441C-9EB7-0F0584572668Q34800141-6ABCD40C-0104-49FD-83B3-1AA2B5CE3347Q35029374-5F836CC7-ACFB-4722-8024-BB5CE9F17773Q36814083-5272D2CE-EECF-49E7-B7F5-1972DE843672Q37354449-E51794CD-DF31-4189-A7AE-AB4BC8B0B9BDQ57570194-71F7ED50-A665-46A2-98E5-DA54B42E7732
P2860
A comprehensive re-analysis of the Golden Spike data: towards a benchmark for differential expression methods.
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A comprehensive re-analysis of ...... fferential expression methods.
@ast
A comprehensive re-analysis of ...... fferential expression methods.
@en
type
label
A comprehensive re-analysis of ...... fferential expression methods.
@ast
A comprehensive re-analysis of ...... fferential expression methods.
@en
prefLabel
A comprehensive re-analysis of ...... fferential expression methods.
@ast
A comprehensive re-analysis of ...... fferential expression methods.
@en
P2860
P356
P1433
P1476
A comprehensive re-analysis of ...... fferential expression methods.
@en
P2093
Richard D Pearson
P2860
P2888
P356
10.1186/1471-2105-9-164
P577
2008-03-26T00:00:00Z
P5875
P6179
1049818427