Combining functional genomics strategies identifies modular heterogeneity of breast cancer intrinsic subtypes. - Nima Pouladi; Richard Cowper-Sallari; Jason H. Moore (BioData Min., 2014)

eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs. - Haiquan Li; Nima Pouladi; Ikbel Achour; Vincent Gardeux; Jianrong Li; Qike Li; Hao Helen Zhang; Fernando D. Martinez; Joe G. N. 'Skip' Garcia; Yves A. Lussier (J. Biomed. Informatics, 2015)

Single subject transcriptome analysis to identify functionally signed gene set or pathway activity. - Joanne Berghout; Qike Li; Nima Pouladi; Jianrong Li; Yves A. Lussier (PSB, 2018)

'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases. - Dillon Aberasturi; Nima Pouladi; Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Walter W. Piegorsch; Yves A. Lussier (Bioinform., 2021)

Enabling Transcriptome Classification in Micro-cohorts with Pathway-Anchoring and Single-Subject Studies. - Mahdieh Shabanian; Nima Pouladi; Liam S. Wilson; Mattia Prosperi; Yves A. Lussier (AIME (2), 2025)