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Identification of breast cancer prognosis markers using Integrative sparse Boosting
S. Ma, J. Huang,
Y. Xie
, N. Yi
Clinical Sciences - QBRC
Clinical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Dive into the research topics of 'Identification of breast cancer prognosis markers using Integrative sparse Boosting'. Together they form a unique fingerprint.
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Medicine & Life Sciences
Breast Neoplasms
100%
Sample Size
46%
Genes
42%
Gene Expression Profiling
26%
Datasets
20%
Carcinogenesis
20%
Data Analysis
19%
Meta-Analysis
19%
Costs and Cost Analysis
16%
Gene Expression
15%
Neoplasms
8%