Siamak Zamani Dadaneh

Texas A&M University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index259citations29works0.02yr avg
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Research Topics

Gene expression and cancer classification(15), Bayesian Methods and Mixture Models(7), Statistical Methods and Inference(6), Genomics and Phylogenetic Studies(5), Advanced Image and Video Retrieval Techniques(4)

Publications29 total

Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification
IEEE Transactions on Artificial Intelligence·2023· 2 cited
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
arXiv (Cornell University)·2021· 5 citedOpen Access
Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data
BMC Genomics·2020· 17 citedOpen Access
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
arXiv (Cornell University)·2020· 2 citedOpen Access
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
arXiv (Cornell University)·2020· 11 citedOpen Access
Arsm Gradient Estimator for Supervised Learning to Rank
2020· 7 cited
Learnable Bernoulli Dropout for Bayesian Deep Learning
International Conference on Artificial Intelligence and Statistics·2020· 5 cited
Learnable Bernoulli Dropout for Bayesian Deep Learning
arXiv (Cornell University)·2020· 20 citedOpen Access
ARSM Gradient Estimator for Supervised Learning to Rank
arXiv (Cornell University)·2019Open Access
Bayesian Analysis of High-Throughput Sequencing Data
2019
Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
arXiv (Cornell University)·2019· 1 citedOpen Access
Optimal clustering with missing values
BMC Bioinformatics·2019· 22 citedOpen Access
Additional file 1 of Optimal clustering with missing values
Figshare·2019Open Access
Optimal Clustering with Missing Values
arXiv (Cornell University)·2019· 1 citedOpen Access
Bayesian multi-domain learning for cancer subtype discovery from\n next-generation sequencing count data
arXiv (Cornell University)·2018· 31 citedOpen Access
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
arXiv (Cornell University)·2018· 31 citedOpen Access
Bayesian negative binomial regression for differential expression with confounding factors
Bioinformatics·2018· 1 citedOpen Access
Sequential Sampling for Optimal Bayesian Classification of Sequencing Count Data
2018 52nd Asilomar Conference on Signals, Systems, and Computers·2018· 4 cited
Optimal Clustering with Missing Values
2018· 2 citedOpen Access
Sequential Sampling for Optimal Bayesian Classification of Sequencing\n Count Data
arXiv (Cornell University)·2018Open Access
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Frequent Co-authors

Xiaoning Qian(25), Mingyuan Zhou(17), Shahin Boluki(12), Edward R. Dougherty(5), Ehsan Hajiramezanali(4), Paul de Figueiredo(3), Sing‐Hoi Sze(3), Ariana Broumand(3), Alireza Karbalayghareh(2), Randy Ardywibowo(2), Mingzhang Yin(2), Seyednami Niyakan(1), Edward J. Dougherty(1)