Sara Mostafavi

21 papers A* 1A 1C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — ed.
Machine Learning in Computational Biology, 5-6 September 2024, Seattle, WA, USA.
MLCB
David A. Knowles, Sara Mostafavi
2023 J jnl
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling.
Bioinform.
Addie Woicik, Mingxin Zhang, Hanwen Xu, Sara Mostafavi, Sheng Wang
2023 — ed.
Machine Learning in Computational Biology, November 30 - December 1, 2023, Seattle, WA, USA.
MLCB
David A. Knowles, Sara Mostafavi
2022 A* conf
Cross-Linked Unified Embedding for cross-modality representation learning.
NeurIPS
Xinming Tu, Zhi-Jie Cao, Chenrui Xia, Sara Mostafavi, Ge Gao
2022 — ed.
Machine Learning in Computational Biology, 21-22 November 2022, Online
MLCB
David A. Knowles, Sara Mostafavi, Su-In Lee
2021 — ed.
Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021.
MLCB
David A. Knowles, Sara Mostafavi, Su-In Lee
2020 J jnl
CoMeBack: DNA methylation array data analysis for co-methylated regions.
Bioinform.
Evan Gatev, Nicole Gladish, Sara Mostafavi, Michael S. Kobor
2020 J jnl
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression.
PLoS Comput. Biol.
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, Sara Mostafavi
2020 J jnl
Deep learning decodes the principles of differential gene expression.
Nat. Mach. Intell.
Shinya Tasaki, Chris Gaiteri, Sara Mostafavi, Yanling Wang
2016 J jnl
Modeling trajectories of mental health: challenges and opportunities.
CoRR
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, Anna Goldenberg
2015 J jnl
Sharing and Specificity of Co-expression Networks across 35 Human Tissues.
PLoS Comput. Biol.
Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi
2012 J jnl
Using the Gene Ontology Hierarchy when Predicting Gene Function
CoRR
Sara Mostafavi, Quaid Morris
2011 — —
Computational Prediction of Gene Function From High-throughput Data Sources.
Sara Mostafavi
2011 J jnl
Unsupervised detection of genes of influence in lung cancer using biological networks.
Bioinform.
Anna Goldenberg, Sara Mostafavi, Gerald T. Quon, Paul C. Boutros, Quaid Morris
2010 J jnl
A neural network based modeling and validation approach for identifying gene regulatory networks.
Neurocomputing
Simon Knott, Sara Mostafavi, Parvin Mousavi
2010 J jnl
Fast integration of heterogeneous data sources for predicting gene function with limited annotation.
Bioinform.
Sara Mostafavi, Quaid Morris
2010 J jnl
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
Nucleic Acids Res.
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, Jason Montojo, Quentin Shao, George Wright, Gary D. Bader, Quaid Morris
2009 A conf
Using the Gene Ontology Hierarchy when Predicting Gene Function.
UAI
Sara Mostafavi, Quaid Morris
2006 C conf
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis.
CIBCB
Sara Mostafavi, Sergio Baranzini, Jorge Oksenberg, Parvin Mousavi
2006 — conf
A Neural Network Based Approach for Inference and Verification of Transcriptional Regulatory Interactions.
EMBC
Simon Knott, Sara Mostafavi, Parvin Mousavi
2006 — conf
Predictive modeling of therapy response in multiple sclerosis using gene expression data.
EMBC
Sara Mostafavi, Sergio Baranzini, Jorge Oksernberg, Parvin Mousavi