Identification of human circadian genes based on time course gene expression profiles by using a deep learning method-Reference-Cited by-同舟云学术

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Identification of human circadian genes based on time course gene expression profiles by using a deep learning method

Published:2018-06 Issue:6 Volume:1864 Page:2274-2283
ISSN:0925-4439
Container-title:Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
language:en
Short-container-title:Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease

Author:

Cui Peng,Zhong Tingyan,Wang Zhuo,Wang Tao,Zhao Hongyu,Liu Chenglin,Lu Hui

Funder

Shanghai Jiao Tong University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Molecular Biology,Molecular Medicine

Reference63 articles.

1. Molecular bases for circadian clocks;Dunlap;Cell,1999

2. Coordinated transcription of key pathways in the mouse by the circadian clock;Panda;Cell,2002

3. Environmental memory from a circadian oscillator: the Arabidopsis thaliana clock differentially integrates perception of photic vs. thermal entrainment;Boikoglou;Genetics,2011

4. Circadian biology: environmental regulation of a multi-oscillator network;Choi;Curr. Biol.,2010

5. A molecular mechanism for circadian clock negative feedback;Duong;Science,2011

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