Uncovering transcriptional regulatory networks by sparse bayesian factor model

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Huang, Yufei ^a,c   Meng, Jia ^a   Zhang, Jianqiu ^a   Qi, Yuan ^b   Chen, Yidong ^c  

^a The University of Texas at San Antonio   (United States)

^b PURDUE UNIVERSITY   (United States)

^c UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; BREAST CANCER; ESTROGEN RECEPTOR; EXPERIMENTAL CONDITIONS; FACTOR MODEL; GIBBS SAMPLING; MICROARRAY DATA; PRIOR KNOWLEDGE; PROTEIN LEVEL; REGULATED GENES; SIMULATED SYSTEM; SPARSE PRIOR; TARGET GENES; TRANSCRIPTIONAL REGULATION; TRANSCRIPTIONAL REGULATORY NETWORKS;

BAYESIAN NETWORKS; GENES; LAWS AND LEGISLATION; LEARNING ALGORITHMS; TRANSCRIPTION; TRANSCRIPTION FACTORS;

COMPUTER SIMULATION;

EID: 77957834179     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/538919     Document Type: Article

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