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Article

Towards Unsupervised Gene Selection: A Matrix Factorization Framework.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Li Jianqiang, Wang Fei

Abstract excerpt

The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis, each sample is represented by quite a large number of genes, and many of them are redundant or insignificant to clarify the disease problem. Therefore, how to efficiently select the most useful genes has been becoming one of the most...

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PMID: 28113598
DOI: 10.1109/TCBB.2016.2591545

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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