Narges Bani Asadi

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 1

Top Topics

Noisy Observations

Genome Sequencing

Top Venues

Publications

Bayo Lau, Marghoob Mohiyuddin, John C. Mu, Li Tai Fang, Narges Bani Asadi, Carolina Dallett, Hugo Y. K. Lam
sequencing of lengthy and noisy datatypes. Bioinform. 32 (24) (2016)
Marghoob Mohiyuddin, John C. Mu, Jian Li, Narges Bani Asadi, Mark B. Gerstein, Alexej Abyzov, Wing H. Wong, Hugo Y. K. Lam
MetaSV: an accurate and integrative structural-variant caller for next generation sequencing. Bioinform. 31 (16) (2015)
John C. Mu, Marghoob Mohiyuddin, Jian Li, Narges Bani Asadi, Mark B. Gerstein, Alexej Abyzov, Wing H. Wong, Hugo Y. K. Lam
VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications. Bioinform. 31 (9) (2015)
John C. Mu, Hui Jiang, Amirhossein Kiani, Marghoob Mohiyuddin, Narges Bani Asadi, Wing Hung Wong
Fast and accurate read alignment for resequencing. Bioinform. 28 (18) (2012)
Christopher W. Fletcher, Ilia A. Lebedev, Narges Bani Asadi, Daniel Burke, John Wawrzynek
Bridging the GPGPU-FPGA efficiency gap. FPGA (2011)
Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan
High-throughput Bayesian network learning using heterogeneous multicore computers. ICS (2010)
Katya Scheinberg, Irina Rish, Narges Bani Asadi
Sparse Markov net learning with priors on regularization parameters. ISAIM (2010)
Narges Bani Asadi, Christopher W. Fletcher, Greg Gibeling, John Wawrzynek, Wing H. Wong, Garry P. Nolan
: a massively parallel, scalable system for learning interaction networks on FPGAs. ICS (2010)
Narges Bani Asadi, Irina Rish, Katya Scheinberg, Dimitri Kanevsky, Bhuvana Ramabhadran
Map approach to learning sparse Gaussian Markov networks. ICASSP (2009)
Narges Bani Asadi, Teresa H. Meng, Wing H. Wong
Reconfigurable computing for learning Bayesian networks. FPGA (2008)
Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski
Reducing overfitting in process model induction. ICML (2005)