Scoring clustering solutions by their biological relevance.
about
Evaluation of gene-expression clustering via mutual information distance measureGenClust: a genetic algorithm for clustering gene expression data.Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.Computational cluster validation in post-genomic data analysis.Comprehensive Identification of Sexual Dimorphism-Associated Differentially Expressed Genes in Two-Way Factorial Designed RNA-Seq Data on Japanese Quail (Coturnix coturnix japonica).Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.A ground truth based comparative study on clustering of gene expression data.Evaluation of clustering algorithms for gene expression data.A robust measure of correlation between two genes on a microarray.DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcription factor binding sites.Unraveling the secret lives of bacteria: use of in vivo expression technology and differential fluorescence induction promoter traps as tools for exploring niche-specific gene expressionHow does gene expression clustering work?A roadmap of clustering algorithms: finding a match for a biomedical application.Asymmetric latent semantic indexing for gene expression experiments visualization.Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results.The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives
P2860
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P2860
Scoring clustering solutions by their biological relevance.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Scoring clustering solutions by their biological relevance.
@en
Scoring clustering solutions by their biological relevance.
@nl
type
label
Scoring clustering solutions by their biological relevance.
@en
Scoring clustering solutions by their biological relevance.
@nl
prefLabel
Scoring clustering solutions by their biological relevance.
@en
Scoring clustering solutions by their biological relevance.
@nl
P2093
P356
P1433
P1476
Scoring clustering solutions by their biological relevance.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/BTG330
P407
P577
2003-12-01T00:00:00Z