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Alireza Karbalayghareh

2 accepted papers

2018

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data

NeurIPS 2018poster

Precision medicine aims for personalized prognosis and therapeutics by utilizing recent genome-scale high-throughput profiling techniques, including next-generation sequencing (NGS). However, translating NGS data faces several challenges. First, NGS count data are often overdispersed, requiring appr…

Cited by 79SourcePDFScholar
2017

Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks

ICASSP 2017accepted

This paper studies the classification of gene regulatory networks (GRNs) modeled by probabilistic Boolean networks (PBNs). After observing Gaussian expression values of n genes at m consecutive time points, with consideration of missing data, an algorithm based on expectation maximization (EM) is pr…

Cited by 0SourceScholar