Curve-based clustering of time course gene expression data using self-organizing maps.
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A Linear Mixed Model Spline Framework for Analysing Time Course 'Omics' DataIdentification of breast cancer recurrence risk factors based on functional pathways in tumor and normal tissues.Analysis of gene expression profile identifies potential biomarkers for atherosclerosis.Identification of functional pathways associated with the conditional ablation of serum response factor in Dstncorn1 mice.
P2860
Curve-based clustering of time course gene expression data using self-organizing maps.
description
2009 nî lūn-bûn
@nan
2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի օգոստոսին 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
Curve-based clustering of time course gene expression data using self-organizing maps.
@ast
Curve-based clustering of time course gene expression data using self-organizing maps.
@en
type
label
Curve-based clustering of time course gene expression data using self-organizing maps.
@ast
Curve-based clustering of time course gene expression data using self-organizing maps.
@en
prefLabel
Curve-based clustering of time course gene expression data using self-organizing maps.
@ast
Curve-based clustering of time course gene expression data using self-organizing maps.
@en
P2860
P1476
Curve-based clustering of time course gene expression data using self-organizing maps.
@en
P2093
P2860
P304
P356
10.1142/S0219720009004291
P577
2009-08-01T00:00:00Z