A computational bioinformatics analysis of gene expression identifies candidate agents for prostate cancer.
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Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.Transcriptomic comparison of primary bovine horn core carcinoma culture and parental tissue at early stage.Cell division cycle 20 overexpression predicts poor prognosis for patients with lung adenocarcinoma.
P2860
A computational bioinformatics analysis of gene expression identifies candidate agents for prostate cancer.
description
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name
A computational bioinformatics ...... te agents for prostate cancer.
@en
type
label
A computational bioinformatics ...... te agents for prostate cancer.
@en
prefLabel
A computational bioinformatics ...... te agents for prostate cancer.
@en
P2093
P2860
P356
P1433
P1476
A computational bioinformatics ...... te agents for prostate cancer.
@en
P2093
P2860
P304
P356
10.1111/AND.12127
P577
2013-06-24T00:00:00Z