Representing high throughput expression profiles via perturbation barcodes reveals compound targets - Wikidata - awgldk - TriplyDB

Representing high throughput expression profiles via perturbation barcodes reveals compound targets

Representing high throughput expression profiles via perturbation barcodes reveals compound targets

http://www.wikidata.org/entity/Q30362540

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Representing high throughput expression profiles via perturbation barcodes reveals compound targets

http://www.wikidata.org/entity/Q30362540

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2017 nî lūn-bûn

@nan

2017 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

name

Representing high throughput e ...... codes reveals compound targets

@ast

Representing high throughput e ...... codes reveals compound targets

@en

type

label

Representing high throughput e ...... codes reveals compound targets

@ast

Representing high throughput e ...... codes reveals compound targets

@en

prefLabel

Representing high throughput e ...... codes reveals compound targets

@ast

Representing high throughput e ...... codes reveals compound targets

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JOURNAL.PCBI.1005335

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PLOS Computational Biology

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Representing high throughput e ...... codes reveals compound targets

@en

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Jing Li

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

Matthew Tudor

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

Peter S Kutchukian

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

P2860

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

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Quantitative monitoring of gene expression patterns with a complementary DNA microarray

ChEMBL: a large-scale bioactivity database for drug discovery

PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease

How were new medicines discovered?

Tackling the widespread and critical impact of batch effects in high-throughput data

Compound signature detection on LINCS L1000 big data.

Toxicity mechanisms identification via gene set enrichment analysis of time-series toxicogenomics data: impact of time and concentration.

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e1005335

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scholarly article

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10.1371/JOURNAL.PCBI.1005335

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2

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13

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Tracey M Filzen

Jeffrey D Hermes

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2017-02-09T00:00:00Z

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28182661

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1604.02399

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5300121

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