Ali Foroughi Pour

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 18

Top Topics

Multiple Sclerosis

Bayesian Models

Gene Expression

Biomarker Discovery

Top Venues

Publications

Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Ali Foroughi Pour, Maciej Pietrzak, Lori A. Dalton, Grzegorz A. Rempala
High dimensional model representation of log-likelihood ratio: binary classification with expression data. BMC Bioinform. 21 (1) (2020)
Ali Foroughi Pour, Lori A. Dalton
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations. CoRR (2020)
Tejal Nair, Ali Foroughi Pour, Jeffrey H. Chuang
The effect of blurring on lung cancer subtype classification accuracy of convolutional neural networks. BIBM (2020)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Error Analysis for Feature Selection in Biomarker Discovery. IEEE Access 7 (2019)
Ali Foroughi Pour, Lori A. Dalton
Theory of Optimal Bayesian Feature Filtering. CoRR (2019)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Biomarker Discovery for RNAseq Data. BCB (2018)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian Feature Selection with Bounded False Discovery Rate. ACSSC (2018)
Ali Foroughi Pour, Lori A. Dalton
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. BMC Bioinform. (3) (2018)
Ali Foroughi Pour, Lori A. Dalton
Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data. BCB (2018)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Feature Selection with Data Integration. GlobalSIP (2018)
Ali Foroughi Pour, Lori A. Dalton
Multiclass Bayesian feature selection. GlobalSIP (2017)
Ali Foroughi Pour, Lori A. Dalton
Integrating Prior Information with Bayesian Feature Selection. BCB (2017)
Ali Foroughi Pour, Lori A. Dalton
Heuristic Algorithms for Feature Selection under Bayesian Models with Block-diagonal Covariance Structure. BCB (2017)
Ali Foroughi Pour, Lori A. Dalton
Robust feature selection for block covariance Bayesian models. ICASSP (2017)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature filtering for single-nucleotide polymorphism data. BIBM (2017)
Ali Foroughi Pour, Lori A. Dalton
Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection. BCB (2016)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature selection with missing data. GlobalSIP (2016)
Ali Foroughi Pour, Lori A. Dalton
Optimal bayesian feature filtering. BCB (2015)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature selection on high dimensional gene expression data. GlobalSIP (2014)