MCbiclust: a novel algorithm to discover large-scale functionally related gene sets from massive transcriptomics data collections

Abstract excerpt

<h4>ABSTRACT</h4> The potential to understand fundamental biological processes from gene expression data has grown parallel with the recent explosion of the size of data collections. However, to exploit this potential, novel analytical methods are required, capable of handling massive data matrices. We found current methods limited in the size of correlated gene sets they could discover within biologically hetero...

Topics

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• Algorithms
• Cluster Analysis
• Databases, Genetic
• Datasets as Topic
• Gene Regulatory Networks
• Genes, Regulator
• High-Throughput Nucleotide Sequencing
• Oligonucleotide Array Sequence Analysis

Identifiers and source

Literature Corpus work

eeb83210-4215-5c8a-bc22-6d97ec92a455

DOI

10.1101/075374