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Kountay Dwivedi

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

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Bioinformatics Advances|June 8, 2026
A fusion-based multiomics classification approach for enhanced gene discovery in non-small cell lung cancerKountay Dwivedi, Amirreza Mahbod, Rupert C Ecker, et al.
Discover Oncology|December 23, 2024
Integrated analysis of cell cycle and p53 signaling pathways related genes in breast, colorectal, lung, and pancreatic cancers: implications for prognosis and drug sensitivity for therapeutic potentialJiyauddin Khan, Priyanjana Ghosh, Urmi Bajpai, et al.
Computer Methods and Programs in Biomedicine|October 22, 2023
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learningKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Computers in Biology and Medicine|January 18, 2023
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classificationKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Scientific Reports|January 8, 2025
Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancersJiyauddin Khan, Chanchal Bareja, Kountay Dwivedi, et al.
Computational Biology and Chemistry|November 24, 2023
XL<sub>1</sub>R-Net: Explainable AI-driven improved L<sub>1</sub>-regularized deep neural architecture for NSCLC biomarker identificationKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Scientific Reports|April 30, 2024
Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformaticsChanchal Bareja, Kountay Dwivedi, Apoorva Uboveja, et al.
Pageof 1

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

Sort By:
Pageof 1
Bioinformatics Advances|June 8, 2026
A fusion-based multiomics classification approach for enhanced gene discovery in non-small cell lung cancerKountay Dwivedi, Amirreza Mahbod, Rupert C Ecker, et al.
Discover Oncology|December 23, 2024
Integrated analysis of cell cycle and p53 signaling pathways related genes in breast, colorectal, lung, and pancreatic cancers: implications for prognosis and drug sensitivity for therapeutic potentialJiyauddin Khan, Priyanjana Ghosh, Urmi Bajpai, et al.
Computer Methods and Programs in Biomedicine|October 22, 2023
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learningKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Computers in Biology and Medicine|January 18, 2023
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classificationKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Scientific Reports|January 8, 2025
Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancersJiyauddin Khan, Chanchal Bareja, Kountay Dwivedi, et al.
Computational Biology and Chemistry|November 24, 2023
XL<sub>1</sub>R-Net: Explainable AI-driven improved L<sub>1</sub>-regularized deep neural architecture for NSCLC biomarker identificationKountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Scientific Reports|April 30, 2024
Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformaticsChanchal Bareja, Kountay Dwivedi, Apoorva Uboveja, et al.
Pageof 1