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Jack Lanchantin

Showing results (1-10 of 7) with videos related to

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Bioinformatics (Oxford, England)|December 31, 2020
Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome dataJack Lanchantin, Yanjun Qi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 23, 2016
Transfer String Kernel for Cross-Context DNA-Protein Binding PredictionRitambhara Singh, Jack Lanchantin, Gabriel Robins, et al.
Advances in Neural Information Processing Systems|August 28, 2018
Attend and Predict: Understanding Gene Regulation by Selective Attention on ChromatinRitambhara Singh, Jack Lanchantin, Arshdeep Sekhon, et al.
Bioinformatics (Oxford, England)|September 3, 2016
DeepChrome: deep-learning for predicting gene expression from histone modificationsRitambhara Singh, Jack Lanchantin, Gabriel Robins, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKSJack Lanchantin, Ritambhara Singh, Beilun Wang, et al.
Bioinformatics (Oxford, England)|December 31, 2020
FastSK: fast sequence analysis with gapped string kernelsDerrick Blakely, Eamon Collins, Ritambhara Singh, et al.
Journal of the Royal Society, Interface|April 6, 2018
Opportunities and obstacles for deep learning in biology and medicineTravers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|December 31, 2020
Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome dataJack Lanchantin, Yanjun Qi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 23, 2016
Transfer String Kernel for Cross-Context DNA-Protein Binding PredictionRitambhara Singh, Jack Lanchantin, Gabriel Robins, et al.
Advances in Neural Information Processing Systems|August 28, 2018
Attend and Predict: Understanding Gene Regulation by Selective Attention on ChromatinRitambhara Singh, Jack Lanchantin, Arshdeep Sekhon, et al.
Bioinformatics (Oxford, England)|September 3, 2016
DeepChrome: deep-learning for predicting gene expression from histone modificationsRitambhara Singh, Jack Lanchantin, Gabriel Robins, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKSJack Lanchantin, Ritambhara Singh, Beilun Wang, et al.
Bioinformatics (Oxford, England)|December 31, 2020
FastSK: fast sequence analysis with gapped string kernelsDerrick Blakely, Eamon Collins, Ritambhara Singh, et al.
Journal of the Royal Society, Interface|April 6, 2018
Opportunities and obstacles for deep learning in biology and medicineTravers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, et al.
Pageof 1