MINE: Module Identification in NEtworks. - Kahn Rhrissorrakrai; Kristin C. Gunsalus (BMC Bioinform., 2011)

Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge. - Michael Biehl; Peter J. Sadowski; Gyan Bhanot; Erhan Bilal; Adel Dayarian; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Michael D. Zeller; Sahand Hormoz (Bioinform., 2015)

A crowd-sourcing approach for the construction of species-specific cell signaling networks. - Erhan Bilal; Theodore Sakellaropoulos; Challenge Participants; Ioannis N. Melas; Dimitris E. Messinis; Vincenzo Belcastro; Kahn Rhrissorrakrai; Pablo Meyer 001; Raquel Norel; Anita Iskandar; Elise Blaese; John Jeremy Rice; et al. (Bioinform., 2015)

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. - Adel Dayarian; Roberto Romero; Zhiming Wang; Michael Biehl; Erhan Bilal; Sahand Hormoz; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Gyan Bhanot; Feng Luo 001; Adi L. Tarca (Bioinform., 2015)

Inter-species pathway perturbation prediction via data-driven detection of functional homology. - Christoph Hafemeister; Roberto Romero; Erhan Bilal; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Richard Bonneau; Adi L. Tarca (Bioinform., 2015)

Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets. - Sahand Hormoz; Gyan Bhanot; Michael Biehl; Erhan Bilal; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Adel Dayarian (Bioinform., 2015)

Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge. - Kahn Rhrissorrakrai; Vincenzo Belcastro; Erhan Bilal; Raquel Norel; Carine Poussin; Carole Mathis; Rémi H. J. Dulize; Nikolai V. Ivanov; Leonidas G. Alexopoulos; John Jeremy Rice; Manuel C. Peitsch; Gustavo Stolovitzky; et al. (Bioinform., 2015)

Erratum to: MINE: Module Identification in Networks. - Kahn Rhrissorrakrai; Kristin C. Gunsalus (BMC Bioinform., 2016)

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis. - David Noren; Byron Long; Raquel Norel; Kahn Rhrissorrakrai; Kenneth R. Hess; Chenyue W. Hu; Alex Bisberg; André Schultz; Erik Engquist; Li Liu 035; Xihui Lin; Gregory M. Chen; et al. (PLoS Comput. Biol., 2016)

Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. - Laxmi Parida; Claudia Haferlach; Kahn Rhrissorrakrai; Filippo Utro; Chaya Levovitz; Wolfgang Kern; Niroshan Nadarajah; Sven Twardziok; Stephan Hutter; Manja Meggendorfer; Wencke Walter; Constance Baer; et al. (PLoS Comput. Biol., 2019)

Lesion Shedding Model: unraveling site-specific contributions to ctDNA. - Kahn Rhrissorrakrai; Filippo Utro; Chaya Levovitz; Laxmi Parida (Briefings Bioinform., 2023)

Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology. - Anupama Ray; Dhiraj Madan; Srushti Patil; Pushpak Pati; Maria Anna Rapsomaniki; Aviwe Kohlakala; Thembelihle Rose Dlamini; Stephanie Julia Muller; Kahn Rhrissorrakrai; Filippo Utro; Laxmi Parida (QCE, 2024)

Epidemiological topology data analysis links severe COVID-19 to RAAS and hyperlipidemia associated metabolic syndrome conditions. - Daniel E. Platt; Aritra Bose; Kahn Rhrissorrakrai; Chaya Levovitz; Laxmi Parida (Bioinform., 2024)

Quantum Doubly Stochastic Transformers. - Jannis Born; Filip Skogh; Kahn Rhrissorrakrai; Filippo Utro; Nico Wagner; Aleksandros Sobczyk (CoRR, 2025)

Quantum Ensembling Methods for Healthcare and Life Science. - Kahn Rhrissorrakrai; Kathleen E. Hamilton; Prerana Bangalore Parthsarathy; Aldo Guzmán-Sáenz; Tyler Alban; Filippo Utro; Laxmi Parida (CoRR, 2025)

Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods. - Filippo Utro; Meltem Tolunay; Kahn Rhrissorrakrai; Tanvi P. Gujarati; Jie Shi; Sara Capponi; Mirko Amico; Nathan Earnest-Noble; Laxmi Parida (CoRR, 2025)