Defining an informativeness metric for clustering gene expression data
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Systems Biology Approach to Model the Life Cycle of Trypanosoma cruziKnowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data.Surprisal analysis of transcripts expression levels in the presence of noise: a reliable determination of the onset of a tumor phenotype.attract: A method for identifying core pathways that define cellular phenotypes.Gene expression variability as a unifying element of the pluripotency network.Extrauterine growth restriction on pulmonary vascular endothelial dysfunction in adult male rats: the role of epigenetic mechanisms.Transcriptome analysis of Salicornia europaea under saline conditions revealed the adaptive primary metabolic pathways as early events to facilitate salt adaptationGenome-wide analysis and expression profile of the bZIP transcription factor gene family in grapevine (Vitis vinifera).Deconvolving heterogeneity in the CD8+ T-cell response to HIV.High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome.A study of phytohormone biosynthetic gene expression using a circadian clock-related mutant in rice.Cyc17, a meiosis-specific cyclin, is essential for anaphase initiation and chromosome segregation in Tetrahymena thermophila.Transcriptome analysis revealed the drought-responsive genes in Tibetan hulless barley.Genome-wide analysis and expression profiling under heat and drought treatments of HSP70 gene family in soybean (Glycine max L.).Quantitative assessment of gene expression network module-validation methodsE2fl1 is a meiosis-specific transcription factor in the protist Tetrahymena thermophila.S-bacillithiolation protects conserved and essential proteins against hypochlorite stress in firmicutes bacteria.Impaired replication elongation in Tetrahymena mutants deficient in histone H3 Lys 27 monomethylation.Assisted clustering of gene expression data using ANCut.Statistical thermodynamics of transcription profiles in normal development and tumorigeneses in cohorts of patients.The genome sequence of the fungal pathogen Fusarium virguliforme that causes sudden death syndrome in soybean.TaCKX6-D1, the ortholog of rice OsCKX2, is associated with grain weight in hexaploid wheat.
P2860
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P2860
Defining an informativeness metric for clustering gene expression data
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Defining an informativeness metric for clustering gene expression data
@ast
Defining an informativeness metric for clustering gene expression data
@en
type
label
Defining an informativeness metric for clustering gene expression data
@ast
Defining an informativeness metric for clustering gene expression data
@en
prefLabel
Defining an informativeness metric for clustering gene expression data
@ast
Defining an informativeness metric for clustering gene expression data
@en
P2860
P50
P356
P1433
P1476
Defining an informativeness metric for clustering gene expression data
@en
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR074
P407
P577
2011-02-16T00:00:00Z