Narges Bani Asadi

According to our database, Narges Bani Asadi authored at least 11 papers between 2005 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

LongISLND: <i>in silico</i> sequencing of lengthy and noisy datatypes.

Bayo Lau, Marghoob Mohiyuddin, John C. Mu, Li Tai Fang, Narges Bani Asadi, Carolina Dallett, Hugo Y. K. Lam

Bioinform., 2016

2015

VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications.

John C. Mu, Marghoob Mohiyuddin, Jian Li, Narges Bani Asadi, Mark B. Gerstein, Alexej Abyzov, Wing H. Wong, Hugo Y. K. Lam

Bioinform., 2015

MetaSV: an accurate and integrative structural-variant caller for next generation sequencing.

Marghoob Mohiyuddin, John C. Mu, Jian Li, Narges Bani Asadi, Mark B. Gerstein, Alexej Abyzov, Wing H. Wong, Hugo Y. K. Lam

Bioinform., 2015

2012

Fast and accurate read alignment for resequencing.

John C. Mu, Hui Jiang, Amirhossein Kiani, Marghoob Mohiyuddin, Narges Bani Asadi, Wing Hung Wong

Bioinform., 2012

2011

Bridging the GPGPU-FPGA efficiency gap.

Christopher W. Fletcher, Ilia A. Lebedev, Narges Bani Asadi, Daniel Burke, John Wawrzynek

Proceedings of the ACM/SIGDA 19th International Symposium on Field Programmable Gate Arrays, 2011

2010

Sparse Markov net learning with priors on regularization parameters.

Katya Scheinberg, Irina Rish, Narges Bani Asadi

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

High-throughput Bayesian network learning using heterogeneous multicore computers.

Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan

Proceedings of the 24th International Conference on Supercomputing, 2010

<i>ParaLearn</i>: a massively parallel, scalable system for learning interaction networks on FPGAs.

Narges Bani Asadi, Christopher W. Fletcher, Greg Gibeling, John Wawrzynek, Wing H. Wong, Garry P. Nolan

Proceedings of the 24th International Conference on Supercomputing, 2010

2009

Map approach to learning sparse Gaussian Markov networks.

Narges Bani Asadi, Irina Rish, Katya Scheinberg, Dimitri Kanevsky, Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Reconfigurable computing for learning Bayesian networks.

Narges Bani Asadi, Teresa H. Meng, Wing Hung Wong

Proceedings of the ACM/SIGDA 16th International Symposium on Field Programmable Gate Arrays, 2008

2005

Reducing overfitting in process model induction.

Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski

Proceedings of the Machine Learning, 2005