The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.
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Extensive Transcriptomic and Genomic Analysis Provides New Insights about Luminal Breast Cancers.Basal-like breast cancer: molecular profiles, clinical features and survival outcomesA Joint Bayesian Model for Integrating Microarray and RNA Sequencing Transcriptomic Data.Life as an early career researcher: interview with Heloisa Helena Milioli.Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.Protein biomarkers for subtyping breast cancer and implications for future research.CLCA2 is a positive regulator of store-operated calcium entry and TMEM16A.Robust genomic copy number predictor of pan cancer metastasis.
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P2860
The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.
description
2015 nî lūn-bûn
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2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
name
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@ast
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@en
type
label
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@ast
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@en
prefLabel
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@ast
The Discovery of Novel Biomark ...... bels in the METABRIC Data Set.
@en
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The Discovery of Novel Biomark ...... abels in the METABRIC Data Set
@en
P2093
Carlos Riveros
Heloisa Helena Milioli
Inna Tishchenko
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P304
P356
10.1371/JOURNAL.PONE.0129711
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2015-07-01T00:00:00Z