Reconstructing cancer drug response networks using multitask learning.

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Pharmacogenomics and big genomic data: from lab to clinic and back again.

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Reconstructing cancer drug response networks using multitask learning.

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2017 nî lūn-bûn

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning.

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Reconstructing cancer drug response networks using multitask learning

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Petar Stojanov

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Rohan Varma

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Venkata Krishna Pillutla

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Ziv Bar-Joseph

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P2860

Gene ontology: tool for the unification of biology

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

TAL nucleases (TALNs): hybrid proteins composed of TAL effectors and FokI DNA-cleavage domain

The Cancer Genome Atlas Pan-Cancer analysis project

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer

Comprehensive molecular portraits of human breast tumours

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

Systematic variation in gene expression patterns in human cancer cell lines

The BioGRID interaction database: 2013 update

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s12918-017-0471-8

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10.1186/S12918-017-0471-8

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Matthew Ruffalo

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2017-10-10T00:00:00Z

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Reconstructing cancer drug response networks using multitask learning.

about

P2860

P2860

Reconstructing cancer drug response networks using multitask learning.

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