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Article

A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer.

Scientific reports - 5 Jul 2017

Song Tianci, Cao Sha, Tao Sheng, Liang Sen, Du Wei, Liang Yanchun

Abstract excerpt

The aberrant alterations of biological functions are well known in tumorigenesis and cancer development. Hence, with advances in high-throughput sequencing technologies, capturing and quantifying the functional alterations in cancers based on expression profiles to explore cancer malignant process is highlighted as one of the important topics among cancer researches. In this article, we propose an algorithm for...

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Share to Breast Neoplasms
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to High-Throughput Nucleotide Sequencing

Share to Sequence Analysis, RNA

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Identifiers

PMID: 28680165
DOI: 10.1038/s41598-017-04961-6
PMCID: PMC5498659

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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