A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis. - Sara Mostafavi; Sergio Baranzini; Jorge Oksenberg; Parvin Mousavi (CIBCB, 2006)

A Neural Network Based Approach for Inference and Verification of Transcriptional Regulatory Interactions. - Simon Knott; Sara Mostafavi; Parvin Mousavi (EMBC, 2006)

Predictive modeling of therapy response in multiple sclerosis using gene expression data. - Sara Mostafavi; Sergio Baranzini; Jorge Oksernberg; Parvin Mousavi (EMBC, 2006)

Using the Gene Ontology Hierarchy when Predicting Gene Function. - Sara Mostafavi; Quaid Morris (UAI, 2009)

Fast integration of heterogeneous data sources for predicting gene function with limited annotation. - Sara Mostafavi; Quaid Morris (Bioinform., 2010)

A neural network based modeling and validation approach for identifying gene regulatory networks. - Simon Knott; Sara Mostafavi; Parvin Mousavi (Neurocomputing, 2010)

The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. - David Warde-Farley; Sylva L. Donaldson; Ovi Comes; Khalid Zuberi; Rashad Badrawi; Pauline Chao; Max Franz; Chris Grouios; Farzana Kazi; Christian Tannus Lopes; Anson Maitland; Sara Mostafavi; et al. (Nucleic Acids Res., 2010)

Unsupervised detection of genes of influence in lung cancer using biological networks. - Anna Goldenberg; Sara Mostafavi; Gerald T. Quon; Paul C. Boutros; Quaid Morris (Bioinform., 2011)

Computational Prediction of Gene Function From High-throughput Data Sources. - Sara Mostafavi (2011)

Sharing and Specificity of Co-expression Networks across 35 Human Tissues. - Emma Pierson; Daphne Koller; Alexis J. Battle; Sara Mostafavi (PLoS Comput. Biol., 2015)

Modeling trajectories of mental health: challenges and opportunities. - Lauren Erdman; Ekansh Sharma; Eva Unternaehrer; Shantala A. Hari Dass; Kieran J. O'Donnell; Sara Mostafavi; Rachel Edgar; Michael S. Kobor; Hélène Gaudreau; Michael J. Meaney 001; Anna Goldenberg (CoRR, 2016)

CoMeBack: DNA methylation array data analysis for co-methylated regions. - Evan Gatev; Nicole Gladish; Sara Mostafavi; Michael S. Kobor (Bioinform., 2020)

Deep learning decodes the principles of differential gene expression. - Shinya Tasaki; Chris Gaiteri; Sara Mostafavi; Yanling Wang (Nat. Mach. Intell., 2020)

Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. - Ellis Patrick; Mariko Taga; Ayla Ergün; Bernard Ng; William Casazza; Maria Cimpean; Christina Yung; Julie A. Schneider; David A. Bennett; Chris Gaiteri; Philip L. De Jager; Elizabeth M. Bradshaw; et al. (PLoS Comput. Biol., 2020)

Cross-Linked Unified Embedding for cross-modality representation learning. - Xinming Tu; Zhi-Jie Cao; Chenrui Xia; Sara Mostafavi; Ge Gao (NeurIPS, 2022)

Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling. - Addie Woicik; Mingxin Zhang 008; Hanwen Xu; Sara Mostafavi; Sheng Wang 012 (Bioinform., 2023)