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Debarka Sengupta

Showing results (41-50 of 65) with videos related to

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Bioinformatics (Oxford, England)|April 12, 2024
Literature mining discerns latent disease-gene relationshipsPriyadarshini Rai, Atishay Jain, Shivani Kumar, et al.
Placenta|August 12, 2023
Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prismUrvashi Arora, Debarka Sengupta, Manisha Kumar, et al.
Nature Communications|June 8, 2026
Gene dependency-informed inference of response to targeted cancer therapiesNilabja Bhattacharjee, Sreeram Chandra Murthy Peela, Abhishek Halder, et al.
Plos Computational Biology|April 17, 2023
A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progressionSalim Ghannoum, Damiano Fantini, Muhammad Zahoor, et al.
The Journal of Biological Chemistry|July 15, 2021
OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decodingRia Gupta, Aayushi Mittal, Vishesh Agrawal, et al.
Genome Research|November 22, 2022
Marker-free characterization of full-length transcriptomes of single live circulating tumor cellsSarita Poonia, Anurag Goel, Smriti Chawla, et al.
Nature Communications|September 27, 2022
Gene expression based inference of cancer drug sensitivitySmriti Chawla, Anja Rockstroh, Melanie Lehman, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory researchAnku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, et al.
Communications Biology|November 13, 2022
Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulationBianca C T Flores, Smriti Chawla, Ning Ma, et al.
Elife|June 13, 2025
Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic dataNamrata Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
Pageof 7

Showing results (41-50 of 65) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|April 12, 2024
Literature mining discerns latent disease-gene relationshipsPriyadarshini Rai, Atishay Jain, Shivani Kumar, et al.
Placenta|August 12, 2023
Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prismUrvashi Arora, Debarka Sengupta, Manisha Kumar, et al.
Nature Communications|June 8, 2026
Gene dependency-informed inference of response to targeted cancer therapiesNilabja Bhattacharjee, Sreeram Chandra Murthy Peela, Abhishek Halder, et al.
Plos Computational Biology|April 17, 2023
A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progressionSalim Ghannoum, Damiano Fantini, Muhammad Zahoor, et al.
The Journal of Biological Chemistry|July 15, 2021
OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decodingRia Gupta, Aayushi Mittal, Vishesh Agrawal, et al.
Genome Research|November 22, 2022
Marker-free characterization of full-length transcriptomes of single live circulating tumor cellsSarita Poonia, Anurag Goel, Smriti Chawla, et al.
Nature Communications|September 27, 2022
Gene expression based inference of cancer drug sensitivitySmriti Chawla, Anja Rockstroh, Melanie Lehman, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory researchAnku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, et al.
Communications Biology|November 13, 2022
Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulationBianca C T Flores, Smriti Chawla, Ning Ma, et al.
Elife|June 13, 2025
Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic dataNamrata Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, et al.
Pageof 7