4 citations · 5 across the 5 of their papers we have counts for
5 papers
Quantum Annealing for Enhanced Feature Selection in Single-Cell RNA Sequencing Data Analysis
Selim Romero, Shreyan Gupta, Victoria Gatlin +2
Feature selection is a machine learning technique for identifying relevant variables in classification and regression models. In single-cell RNA sequencing (scRNA-seq) data analysi…
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
Arhit Chakrabarti, Yang Ni, Ellen Ruth A. Morris +3
We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sha…
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization
Fangting Zhou, Kejun He, Qiwei Li +2
High-throughput sequencing technology provides unprecedented opportunities to quantitatively explore human gut microbiome and its relation to diseases. Microbiome data are composit…
Extinction scenarios in evolutionary processes: A Multinomial Wright-Fisher approach
Alexander Roitershtein, Reza Rastegar, Robert S. Chapkin +1
We study a generalized discrete-time multi-type Wright-Fisher population process. The mean-field dynamics of the stochastic process is induced by a general replicator difference eq…
Feature selection for high-dimensional integrated data
Charles Zheng, Scott Schwartz, Robert Chapkin +2
Motivated by the problem of identifying correlations between genes or features of two related biological systems, we propose a model of \emph{feature selection} in which only a sub…