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ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs., , , , , and . ICS, page 83-94. ACM, (2010)Confnet: Predict with Confidence., , , and . ICASSP, page 2921-2925. IEEE, (2018)MetaSV: an accurate and integrative structural-variant caller for next generation sequencing., , , , , , , and . Bioinformatics, 31 (16): 2741-2744 (2015)VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications., , , , , , , and . Bioinformatics, 31 (9): 1469-1471 (2015)Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family., , and . CoRR, (2016)Dissecting Early Differentially Expressed Genes in a Mixture of Differentiating Embryonic Stem Cells., , , , , , , , and . PLoS Computational Biology, (2009)Modeling Co-Expression across Species for Complex Traits: Insights to the Difference of Human and Mouse Embryonic Stem Cells., , , , , , and . PLoS Computational Biology, (2010)Image processing and image reconstruction with the use of a-priori information., , , , and . Medical Imaging: Image Processing, volume 1233 of SPIE Proceedings, SPIE, (1990)Reconfigurable computing for learning Bayesian networks., , and . FPGA, page 203-211. ACM, (2008)Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal., , and . CoRR, (2019)