Gang Fang

12 papers A* 1Misc 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Innovative Low-cost Probe Generation Empowers Targeted Long-read RNA Sequencing.
Genom. Proteom. Bioinform.
Gang Fang
2015 J jnl
SubPatCNV: approximate subspace pattern mining for mapping copy-number variations.
BMC Bioinform.
Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang
2013 J jnl
Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic.
PLoS Comput. Biol.
Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric E. Schadt
2012 — conf
Approximate subspace pattern mining for mapping copy-number variations.
BCB
Nicholas Johnson, Gang Fang, Rui Kuang
2012 — conf
Invited: Discovering combinatorial biomarkers.
ICCABS
Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar
2012 J jnl
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar
2011 J jnl
Characterizing Discriminative Patterns
CoRR
Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar
2011 — conf
Using Constraints to Generate and Explore Higher Order Discriminative Patterns.
PAKDD (1)
Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
2010 Misc conf
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Pacific Symposium on Biocomputing
Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009 — conf
Association Analysis Techniques for Bioinformatics Problems.
BICoB
Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
2009 — conf
Association analysis techniques for analyzing complex biological data sets.
GENSiPS
Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
2008 A* conf
Quantitative evaluation of approximate frequent pattern mining algorithms.
KDD
Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar