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Manali Singha

Showing results (1-10 of 9) with videos related to

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Oncotarget|May 23, 2022
CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profilingLimeng Pu, Manali Singha, Jagannathan Ramanujam, et al.
NPJ Systems Biology and Applications|March 22, 2018
Large-scale computational drug repositioning to find treatments for rare diseasesRajiv Gandhi Govindaraj, Misagh Naderi, Manali Singha, et al.
Biomolecules|August 26, 2022
GraphSite: Ligand Binding Site Classification with Deep Graph LearningWentao Shi, Manali Singha, Limeng Pu, et al.
Frontiers in Pharmacology|April 1, 2022
Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug DesignWentao Shi, Manali Singha, Gopal Srivastava, et al.
NPJ Systems Biology and Applications|April 29, 2022
An integrated network representation of multiple cancer-specific data for graph-based machine learningLimeng Pu, Manali Singha, Hsiao-Chun Wu, et al.
Journal of Cheminformatics|August 12, 2021
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous dataGuannan Liu, Manali Singha, Limeng Pu, et al.
Bioinformatics (Oxford, England)|February 14, 2020
BionoiNet: ligand-binding site classification with off-the-shelf deep neural networkWentao Shi, Jeffrey M Lemoine, Abd-El-Monsif A Shawky, et al.
BMC Cancer|November 26, 2022
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitorsManali Singha, Limeng Pu, Brent A Stanfield, et al.
Cancers|August 26, 2023
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in CancerManali Singha, Limeng Pu, Gopal Srivastava, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Oncotarget|May 23, 2022
CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profilingLimeng Pu, Manali Singha, Jagannathan Ramanujam, et al.
NPJ Systems Biology and Applications|March 22, 2018
Large-scale computational drug repositioning to find treatments for rare diseasesRajiv Gandhi Govindaraj, Misagh Naderi, Manali Singha, et al.
Biomolecules|August 26, 2022
GraphSite: Ligand Binding Site Classification with Deep Graph LearningWentao Shi, Manali Singha, Limeng Pu, et al.
Frontiers in Pharmacology|April 1, 2022
Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug DesignWentao Shi, Manali Singha, Gopal Srivastava, et al.
NPJ Systems Biology and Applications|April 29, 2022
An integrated network representation of multiple cancer-specific data for graph-based machine learningLimeng Pu, Manali Singha, Hsiao-Chun Wu, et al.
Journal of Cheminformatics|August 12, 2021
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous dataGuannan Liu, Manali Singha, Limeng Pu, et al.
Bioinformatics (Oxford, England)|February 14, 2020
BionoiNet: ligand-binding site classification with off-the-shelf deep neural networkWentao Shi, Jeffrey M Lemoine, Abd-El-Monsif A Shawky, et al.
BMC Cancer|November 26, 2022
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitorsManali Singha, Limeng Pu, Brent A Stanfield, et al.
Cancers|August 26, 2023
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in CancerManali Singha, Limeng Pu, Gopal Srivastava, et al.
Pageof 1