Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

@en

Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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P1476

Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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P2093

Nathan Salomonis

http://www.w3.org/2001/XMLSchema#string

P2860

WikiPathways: pathway editing for the people

An integrated encyclopedia of DNA elements in the human genome

Gene ontology: tool for the unification of biology

Molecular signatures from omics data: from chaos to consensus

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Pathway Commons, a web resource for biological pathway data

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

The Human Phenotype Ontology in 2017

Using R and Bioconductor for proteomics data analysis.

MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data.

P31

scholarly article

P356

10.1007/7651_2017_94

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P407

English

P577

2017-11-18T00:00:00Z

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P698

29147916

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