Sequential adaptive compressed sampling via Huffman codes - Akram Aldroubi; Haichao Wang; Kourosh Zarringhalam (CoRR, 2008)

Molecular causes of transcriptional response: a Bayesian prior knowledge approach. - Kourosh Zarringhalam; Ahmed Enayetallah; Alex Gutteridge; Ben Sidders; Daniel Ziemek (Bioinform., 2013)

Robust clinical outcome prediction based on Bayesian analysis of transcriptional profiles and prior causal networks. - Kourosh Zarringhalam; Ahmed Enayetallah; Padmalatha Reddy; Daniel Ziemek (Bioinform., 2014)

Biomedical relation extraction using stochastic difference equations. - Carl Tony Fakhry; Kourosh Zarringhalam; Ping Chen 001 (HPEC, 2015)

Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. - Carl Tony Fakhry; Parul Choudhary; Alex Gutteridge; Ben Sidders; Ping Chen 001; Daniel Ziemek; Kourosh Zarringhalam (BMC Bioinform., 2016)

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data. - Tianyu Kang; Wei Ding 003; Luoyan Zhang; Daniel Ziemek; Kourosh Zarringhalam (BMC Bioinform., 2017)

Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. - Tianyu Kang; Kourosh Zarringhalam; Marieke L. Kuijjer; Ping Chen 001; John Quackenbush; Wei Ding 003 (ICDM, 2018)

A Free Energy Based Approach for Distance Metric Learning. - Sho Inaba; Carl Tony Fakhry; Rahul V. Kulkarni; Kourosh Zarringhalam (KDD, 2019)

Patch-DCA: improved protein interface prediction by utilizing structural information and clustering DCA scores. - Amir Vajdi; Kourosh Zarringhalam; Nurit Haspel (Bioinform., 2020)

ModEx: A text mining system for extracting mode of regulation of transcription factor-gene regulatory interaction. - Saman Farahmand; Todd Riley; Kourosh Zarringhalam (J. Biomed. Informatics, 2020)