Sara Mostafavi

Orcid: 0000-0003-4698-1177

According to our database1, Sara Mostafavi authored at least 16 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling.
Bioinform., 2023

2022
Cross-Linked Unified Embedding for cross-modality representation learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression.
PLoS Comput. Biol., 2020

Deep learning decodes the principles of differential gene expression.
Nat. Mach. Intell., 2020

CoMeBack: DNA methylation array data analysis for co-methylated regions.
Bioinform., 2020

2016
Modeling trajectories of mental health: challenges and opportunities.
CoRR, 2016

2015
Sharing and Specificity of Co-expression Networks across 35 Human Tissues.
PLoS Comput. Biol., 2015

2011
Computational Prediction of Gene Function From High-throughput Data Sources.
PhD thesis, 2011

Unsupervised detection of genes of influence in lung cancer using biological networks.
Bioinform., 2011

2010
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
Nucleic Acids Res., 2010

A neural network based modeling and validation approach for identifying gene regulatory networks.
Neurocomputing, 2010

Fast integration of heterogeneous data sources for predicting gene function with limited annotation.
Bioinform., 2010

2009
Using the Gene Ontology Hierarchy when Predicting Gene Function.
Proceedings of the UAI 2009, 2009

2006
Predictive modeling of therapy response in multiple sclerosis using gene expression data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Neural Network Based Approach for Inference and Verification of Transcriptional Regulatory Interactions.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006


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