A log-linear graphical model for inferring genetic networks from high-throughput sequencing data

Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

Volumn , Issue , 2012, Pages 41-46

  Allen, Genevera I ^a,b   Liu, Zhandong ^b  

^a Rice University   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

graphical models; Markov networks; microRNAs; next generation sequencing data; regulatory networks

Indexed keywords

GRAPHICAL MODEL; MARKOV NETWORKS; MICRORNAS; NEXT GENERATION SEQUENCING DATA; REGULATORY NETWORK;

BIOINFORMATICS; COMPUTER SIMULATION; GENE EXPRESSION; GRAPHIC METHODS; REGRESSION ANALYSIS; RNA; SPEECH RECOGNITION;

NEXT GENERATION NETWORKS;

EID: 84872548765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2012.6392619     Document Type: Conference Paper

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