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Scientific Reports|January 21, 2018
Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genesKourosh Zarringhalam, David Degras, Christoph Brockel, et al.Bioinformatics (Oxford, England)|June 17, 2014
Robust clinical outcome prediction based on Bayesian analysis of transcriptional profiles and prior causal networksKourosh Zarringhalam, Ahmed Enayetallah, Padmalatha Reddy, et al.Bioinformatics (Oxford, England)|February 17, 2026
ReverseGWAS identifies combined phenotypes associated with a genotype in GWA studiesLeonid Chindelevitch, Åsa K Hedman, Dmitri Bichko, et al.BMC Bioinformatics|December 21, 2017
A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression dataTianyu Kang, Wei Ding, Luoyan Zhang, et al.Bioinformatics (Oxford, England)|October 1, 2013
Molecular causes of transcriptional response: a Bayesian prior knowledge approachKourosh Zarringhalam, Ahmed Enayetallah, Alex Gutteridge, et al.BMC Systems Biology|February 26, 2014
GeneTopics--interpretation of gene sets via literature-driven topic modelsVicky Wang, Li Xi, Ahmed Enayetallah, et al.BMC Bioinformatics|February 22, 2012
Assessing statistical significance in causal graphsLeonid Chindelevitch, Po-Ru Loh, Ahmed Enayetallah, et al.ACR Open Rheumatology|June 4, 2021
What Is the Persistence to Methotrexate in Rheumatoid Arthritis, and Does Machine Learning Outperform Hypothesis-Based Approaches to Its Prediction?Helga Westerlind, Mateusz Maciejewski, Thomas Frisell, et al.Journal of Cardiovascular Pharmacology|April 23, 2008
Characterization of human cardiac Kv1.5 inhibition by the novel atrial-selective antiarrhythmic compound AVE1231Joachim R Ehrlich, Hellen Ocholla, Daniel Ziemek, et al.Bioinformatics (Oxford, England)|February 23, 2012
Causal reasoning on biological networks: interpreting transcriptional changesLeonid Chindelevitch, Daniel Ziemek, Ahmed Enayetallah, et al.Pageof 5