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Neel S Madhukar

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

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Methods in Molecular Biology (Clifton, N.J.)|January 19, 2018
Bioinformatics Approaches to Predict Drug Responses from Genomic SequencingNeel S Madhukar, Olivier Elemento
Frontiers in Bioengineering and Biotechnology|November 19, 2015
Prediction of Genetic Interactions Using Machine Learning and Network PropertiesNeel S Madhukar, Olivier Elemento, Gaurav Pandey
Cell Chemical Biology|September 20, 2016
A Data-Driven Approach to Predicting Successes and Failures of Clinical TrialsKaitlyn M Gayvert, Neel S Madhukar, Olivier Elemento
Cancer Discovery|April 3, 2021
Artificial Intelligence in Cancer Research and Precision MedicineBhavneet Bhinder, Coryandar Gilvary, Neel S Madhukar, et al.
Plos One|January 27, 2015
Organization of enzyme concentration across the metabolic network in cancer cellsNeel S Madhukar, Marc O Warmoes, Jason W Locasale
Nature Communications|November 21, 2019
A Bayesian machine learning approach for drug target identification using diverse data typesNeel S Madhukar, Prashant K Khade, Linda Huang, et al.
Cell Metabolism|September 19, 2017
A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural ProductMaria V Liberti, Ziwei Dai, Suzanne E Wardell, et al.
Plos One|August 3, 2017
Cancer stem cell-related gene expression as a potential biomarker of response for first-in-class imipridone ONC201 in solid tumorsVarun V Prabhu, Amriti R Lulla, Neel S Madhukar, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|December 19, 2018
Dopamine Receptor D5 is a Modulator of Tumor Response to Dopamine Receptor D2 AntagonismVarun V Prabhu, Neel S Madhukar, Coryandar Gilvary, et al.
Pageof 1

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

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|January 19, 2018
Bioinformatics Approaches to Predict Drug Responses from Genomic SequencingNeel S Madhukar, Olivier Elemento
Frontiers in Bioengineering and Biotechnology|November 19, 2015
Prediction of Genetic Interactions Using Machine Learning and Network PropertiesNeel S Madhukar, Olivier Elemento, Gaurav Pandey
Cell Chemical Biology|September 20, 2016
A Data-Driven Approach to Predicting Successes and Failures of Clinical TrialsKaitlyn M Gayvert, Neel S Madhukar, Olivier Elemento
Cancer Discovery|April 3, 2021
Artificial Intelligence in Cancer Research and Precision MedicineBhavneet Bhinder, Coryandar Gilvary, Neel S Madhukar, et al.
Plos One|January 27, 2015
Organization of enzyme concentration across the metabolic network in cancer cellsNeel S Madhukar, Marc O Warmoes, Jason W Locasale
Nature Communications|November 21, 2019
A Bayesian machine learning approach for drug target identification using diverse data typesNeel S Madhukar, Prashant K Khade, Linda Huang, et al.
Cell Metabolism|September 19, 2017
A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural ProductMaria V Liberti, Ziwei Dai, Suzanne E Wardell, et al.
Plos One|August 3, 2017
Cancer stem cell-related gene expression as a potential biomarker of response for first-in-class imipridone ONC201 in solid tumorsVarun V Prabhu, Amriti R Lulla, Neel S Madhukar, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|December 19, 2018
Dopamine Receptor D5 is a Modulator of Tumor Response to Dopamine Receptor D2 AntagonismVarun V Prabhu, Neel S Madhukar, Coryandar Gilvary, et al.
Pageof 1