CYCLOPS reveals human transcriptional rhythms in health and disease. - Wikidata - awgldk - TriplyDB

CYCLOPS reveals human transcriptional rhythms in health and disease.

CYCLOPS reveals human transcriptional rhythms in health and disease.

http://www.wikidata.org/entity/Q33719425

about

Compass in the data ocean: Toward chronotherapy.CirGRDB: a database for the genome-wide deciphering circadian genes and regulators.Molecular Aspects of Circadian Pharmacology and Relevance for Cancer Chronotherapy.Evidence for widespread dysregulation of circadian clock progression in human cancer.What's next for chronobiology and drug discovery.Unveiling “Musica Universalis” of the Cell: A Brief History of Biological 12-Hour Rhythms.High-accuracy determination of internal circadian time from a single blood sample Universal method for robust detection of circadian state from gene expression Implicit time-place conditioning alters Per2 mRNA expression selectively in striatum without shifting its circadian clocks

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P2860

CYCLOPS reveals human transcriptional rhythms in health and disease.

http://www.wikidata.org/entity/Q33719425

description

2017 nî lūn-bûn

@nan

2017 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի ապրիլին 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

CYCLOPS reveals human transcriptional rhythms in health and disease.

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CYCLOPS reveals human transcriptional rhythms in health and disease.

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type

label

CYCLOPS reveals human transcriptional rhythms in health and disease.

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CYCLOPS reveals human transcriptional rhythms in health and disease.

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prefLabel

CYCLOPS reveals human transcriptional rhythms in health and disease.

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CYCLOPS reveals human transcriptional rhythms in health and disease.

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PNAS.1619320114

P1433

Proceedings of the National Academy of Sciences of the United States of America

P1476

CYCLOPS reveals human transcriptional rhythms in health and disease.

@en

P2093

John B Hogenesch

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

Junhyong Kim

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

Lauren J Francey

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

Ron C Anafi

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

P2860

Machine learning helps identify CHRONO as a circadian clock component

Effects of insufficient sleep on circadian rhythmicity and expression amplitude of the human blood transcriptome

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

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Circadian rhythms in liver metabolism and disease

Blood-gene expression reveals reduced circadian rhythmicity in individuals resistant to sleep deprivation

Predictive genes in adjacent normal tissue are preferentially altered by sCNV during tumorigenesis in liver cancer and may rate limiting

Singular value decomposition for genome-wide expression data processing and modeling

Physiological significance of a peripheral tissue circadian clock

Discovering Biology in Periodic Data through Phase Set Enrichment Analysis (PSEA).

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scholarly article

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10.1073/PNAS.1619320114

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20

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114

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2017-04-24T00:00:00Z

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28439010

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5441789

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