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An Unsupervised Approach to Identify Molecular Phenotypic Components Influencing Breast Cancer Features

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Year: 2004
Type: article
Study design: Observational Study
Source: Cancer Research
DOI: 10.1158/0008-5472.can-03-3208
Authors: Florin M. Selaru, Jing Yin, Andreea Olaru, Yuriko Mori, Yan Xu, Steven H. Epstein, Fumiaki Sato, Elena Deacu, Suna Wang, Anca Sterian, Amy Fulton, John M. Abraham, David Shibata, Claudia Baquet, Sanford A. Stass, Stephen J. Meltzer
Institution: University of Maryland, Baltimore
Language: English

Topic: Breast Cancer Treatment Studies
Subfield: Cancer Research
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W2134309775
FWCI: 1.114
Cites: 43
Cited by: 23
Related to: 10
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