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04/04/2021
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
Single-Cell RNA sequencing (scRNA-seq) measurements have facilitated gen...
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05/21/2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Semantic hashing has become a crucial component of fast similarity searc...
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02/12/2020
Learnable Bernoulli Dropout for Bayesian Deep Learning
In this work, we propose learnable Bernoulli dropout (LBD), a new model-...
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11/01/2019
ARSM Gradient Estimator for Supervised Learning to Rank
We propose a new model for supervised learning to rank. In our model, th...
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08/01/2019
Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
Background: Single-cell RNA sequencing (scRNA-seq) is a powerful profili...
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02/26/2019
Optimal Clustering with Missing Values
Missing values frequently arise in modern biomedical studies due to vari...
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10/22/2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
Precision medicine aims for personalized prognosis and therapeutics by u...
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07/12/2018
Sequential Sampling for Optimal Bayesian Classification of Sequencing Count Data
High throughput technologies have become the practice of choice for comp...
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03/07/2018