A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: Systematically incorporating validated biological knowledge

Jiang Du, Joel S. Rozowsky, Jan O. Korbel, Zhengdong D. Zhang, Thomas E. Royce, Martin H. Schultz, Michael Snyder, Mark Gerstein

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Fingerprint

Dive into the research topics of 'A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: Systematically incorporating validated biological knowledge'. Together they form a unique fingerprint.

Mathematics

Medicine & Life Sciences

Engineering & Materials Science

Chemical Compounds