Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia.

Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia.

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http://www.wikidata.org/entity/Q40764658
Leveraging big data to transform target selection and drug discoveryReversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targetsIdentifying new antiepileptic drugs through genomics-based drug repurposing.Mining the transcriptome for rare disease therapies: a comparison of the efficiencies of two data mining approaches and a targeted cell-based drug screen.Genome-Wide Expression Profiles Drive Discovery of Novel Compounds that Reduce Binge Drinking in Mice.Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly.EMUDRA: Ensemble of Multiple Drug Repositioning Approaches to Improve Prediction Accuracy.Meta- and cross-species analyses of insulin resistance based on gene expression datasets in human white adipose tissues.LINCS L1000 dataset-based repositioning of CGP-60474 as a highly potent anti-endotoxemic agent
P2860

Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia.

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http://www.wikidata.org/entity/Q40764658
description
2015 nî lūn-bûn
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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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name
Drugs that reverse disease tra ...... mouse model of dyslipidemia.
@en
type
label
Drugs that reverse disease tra ...... mouse model of dyslipidemia.
@en
prefLabel
Drugs that reverse disease tra ...... mouse model of dyslipidemia.
@en
P1433
P1476
P2093
P2860
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P50
P577
P5875
P698
P921
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Drugs that reverse disease tra ...... mouse model of dyslipidemia.
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932