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IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 6, 2011
An information theoretic approach to constructing robust Boolean gene regulatory networks
Bane Vasić, Vida Ravanmehr, Anantha Raman Krishnan
Bioinformatics (Oxford, England)
|
November 1, 2017
ChIPWig: a random access-enabling lossless and lossy compression method for ChIP-seq data
Vida Ravanmehr, Minji Kim, Zhiying Wang, et al.
Nature Computational Science
|
January 4, 2024
GRAPE for fast and scalable graph processing and random-walk-based embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, et al.
Nature Communications
|
March 19, 2025
Diverse ancestral representation improves genetic intolerance metrics
Alexander L Han, Chloe F Sands, Dorota Matelska, et al.
Biorxiv : the Preprint Server for Biology
|
August 26, 2020
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
Justin Reese, Deepak Unni, Tiffany J Callahan, et al.
American Journal of Human Genetics
|
August 7, 2020
Interpretable Clinical Genomics with a Likelihood Ratio Paradigm
Peter N Robinson, Vida Ravanmehr, Julius O B Jacobsen, et al.
NAR Genomics and Bioinformatics
|
December 10, 2021
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, et al.
Plos Genetics
|
February 3, 2026
Rare heterozygous missense variants in VSX2 are associated with retinal detachment
Daniel C Brock, Justin S Dhindsa, Yifan Chen, et al.
Bioinformatics Advances
|
April 5, 2024
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, et al.
Patterns (New York, N.Y.)
|
November 16, 2020
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response
Justin T Reese, Deepak Unni, Tiffany J Callahan, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 6, 2011
An information theoretic approach to constructing robust Boolean gene regulatory networks
Bane Vasić, Vida Ravanmehr, Anantha Raman Krishnan
Bioinformatics (Oxford, England)
|
November 1, 2017
ChIPWig: a random access-enabling lossless and lossy compression method for ChIP-seq data
Vida Ravanmehr, Minji Kim, Zhiying Wang, et al.
Nature Computational Science
|
January 4, 2024
GRAPE for fast and scalable graph processing and random-walk-based embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, et al.
Nature Communications
|
March 19, 2025
Diverse ancestral representation improves genetic intolerance metrics
Alexander L Han, Chloe F Sands, Dorota Matelska, et al.
Biorxiv : the Preprint Server for Biology
|
August 26, 2020
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
Justin Reese, Deepak Unni, Tiffany J Callahan, et al.
American Journal of Human Genetics
|
August 7, 2020
Interpretable Clinical Genomics with a Likelihood Ratio Paradigm
Peter N Robinson, Vida Ravanmehr, Julius O B Jacobsen, et al.
NAR Genomics and Bioinformatics
|
December 10, 2021
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, et al.
Plos Genetics
|
February 3, 2026
Rare heterozygous missense variants in VSX2 are associated with retinal detachment
Daniel C Brock, Justin S Dhindsa, Yifan Chen, et al.
Bioinformatics Advances
|
April 5, 2024
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, et al.
Patterns (New York, N.Y.)
|
November 16, 2020
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response
Justin T Reese, Deepak Unni, Tiffany J Callahan, et al.
Page
of 2