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Sara Mostafavi
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2020 – today
- 2023
- [j9]Addie Woicik, Mingxin Zhang, Hanwen Xu, Sara Mostafavi, Sheng Wang:
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling. Bioinform. 39(Supplement-1): 504-512 (2023) - [e3]David A. Knowles, Sara Mostafavi:
Machine Learning in Computational Biology, November 30 - December 1, 2023, Seattle, WA, USA. Proceedings of Machine Learning Research 240, PMLR 2023 [contents] - 2022
- [c5]Xinming Tu, Zhi-Jie Cao, Chenrui Xia, Sara Mostafavi, Ge Gao:
Cross-Linked Unified Embedding for cross-modality representation learning. NeurIPS 2022 - [e2]David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology, 21-22 November 2022, Online. Proceedings of Machine Learning Research 200, PMLR 2022 [contents] - 2021
- [e1]David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021. Proceedings of Machine Learning Research 165, PMLR 2021 [contents] - 2020
- [j8]Evan Gatev, Nicole Gladish
, Sara Mostafavi, Michael S. Kobor
:
CoMeBack: DNA methylation array data analysis for co-methylated regions. Bioinform. 36(9): 2675-2683 (2020) - [j7]Shinya Tasaki
, Chris Gaiteri
, Sara Mostafavi, Yanling Wang:
Deep learning decodes the principles of differential gene expression. Nat. Mach. Intell. 2(7): 376-386 (2020) - [j6]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:
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. PLoS Comput. Biol. 16(8) (2020)
2010 – 2019
- 2016
- [i2]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:
Modeling trajectories of mental health: challenges and opportunities. CoRR abs/1612.01055 (2016) - 2015
- [j5]Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi
:
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. 11(5) (2015) - 2012
- [i1]Sara Mostafavi, Quaid Morris:
Using the Gene Ontology Hierarchy when Predicting Gene Function. CoRR abs/1205.2622 (2012) - 2011
- [b1]Sara Mostafavi:
Computational Prediction of Gene Function From High-throughput Data Sources. University of Toronto, Canada, 2011 - [j4]Anna Goldenberg, Sara Mostafavi, Gerald T. Quon
, Paul C. Boutros
, Quaid Morris
:
Unsupervised detection of genes of influence in lung cancer using biological networks. Bioinform. 27(22): 3166-3172 (2011) - 2010
- [j3]Sara Mostafavi, Quaid Morris
:
Fast integration of heterogeneous data sources for predicting gene function with limited annotation. Bioinform. 26(14): 1759-1765 (2010) - [j2]Simon Knott, Sara Mostafavi, Parvin Mousavi
:
A neural network based modeling and validation approach for identifying gene regulatory networks. Neurocomputing 73(13-15): 2419-2429 (2010) - [j1]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
:
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 38(Web-Server-Issue): 214-220 (2010)
2000 – 2009
- 2009
- [c4]Sara Mostafavi, Quaid Morris:
Using the Gene Ontology Hierarchy when Predicting Gene Function. UAI 2009: 419-427 - 2006
- [c3]Sara Mostafavi, Sergio Baranzini
, Jorge Oksenberg, Parvin Mousavi
:
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis. CIBCB 2006: 1-8 - [c2]Sara Mostafavi, Sergio Baranzini
, Jorge Oksernberg, Parvin Mousavi
:
Predictive modeling of therapy response in multiple sclerosis using gene expression data. EMBC 2006: 5519-5522 - [c1]Simon Knott, Sara Mostafavi, Parvin Mousavi
:
A Neural Network Based Approach for Inference and Verification of Transcriptional Regulatory Interactions. EMBC 2006: 5838-5841
Coauthor Index
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