Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray data.

Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray data.

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http://www.wikidata.org/entity/Q34323501
GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression dataSerial analysis of 38 proteins during the progression of human breast tumor in mice using an antibody colocalization microarray.Prognostic value, clinicopathologic features and diagnostic accuracy of interleukin-8 in colorectal cancer: a meta-analysis.Expression and prognostic significance of MYL9 in esophageal squamous cell carcinoma.Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis.Systems Pharmacogenomics Finds RUNX1 Is an Aspirin-Responsive Transcription Factor Linked to Cardiovascular Disease and Colon Cancer.Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach.Quantitative mass spectrometry analysis reveals a panel of nine proteins as diagnostic markers for colon adenocarcinomas.
P2860

Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray data.

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http://www.wikidata.org/entity/Q34323501
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Identification of candidate co ...... t approach on microarray data.
@ast
Identification of candidate co ...... t approach on microarray data.
@en
Identification of candidate co ...... t approach on microarray data.
@nl
type
label
Identification of candidate co ...... t approach on microarray data.
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Identification of candidate co ...... t approach on microarray data.
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Identification of candidate co ...... t approach on microarray data.
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prefLabel
Identification of candidate co ...... t approach on microarray data.
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Identification of candidate co ...... t approach on microarray data.
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Identification of candidate co ...... t approach on microarray data.
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P1433
P1476
P2093
P304
P31
P356
P433
P478
P577
P698
P921
P356
P1433
P1476
Identification of candidate co ...... t approach on microarray data.
@en
P2093
P304
P31
P356
P433
P478
P577
P698
P921