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S S Vinod Chandra

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

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The Protein Journal|December 19, 2023
Significance of Sequence Features in Classification of Protein-Protein Interactions Using Machine LearningSini S Raj, S S Vinod Chandra
Journal of Bioinformatics and Computational Biology|September 30, 2021
Mining of structural motifs in proteins using artificial bee colony optimization framework for druggabilityL S Suma, S S Vinod Chandra
BMC Cancer|January 27, 2017
An approach to forecast human cancer by profiling microRNA expressions from NGS dataA Salim, R Amjesh, S S Vinod Chandra
Scientific Reports|March 19, 2026
Multilayer pyramid pooling self-attention for landslide detection using vision transformersS Sreelakshmi, S S Vinod Chandra, Daud Ali, et al.
Journal of Ambient Intelligence and Humanized Computing|August 9, 2021
Nature inspired optimization model for classification and severity prediction in COVID-19 clinical datasetL S Suma, H S Anand, S S Vinod Chandra
Evolutionary Intelligence|June 29, 2022
COVID-19 severity detection using machine learning techniques from CT-imagesA L Aswathy, Hareendran S Anand, S S Vinod Chandra
Journal of Biomolecular Structure & Dynamics|July 13, 2022
A new approach used in docking study for predicting the combination drug efficacy in EML4-ALK target of NSCLCSaleena Younus, S S Vinod Chandra, Junaida Ibrahim, et al.
Journal of Translational Medicine|February 16, 2025
Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donorsC G Raji, S S Vinod Chandra, Noble Gracious, et al.
Genomics|March 8, 2011
Identification and analysis of novel microRNAs from fragile sites of human cervical cancer: computational and experimental approachG Reshmi, S S Vinod Chandra, V Janki Mohan Babu, et al.
Pageof 1

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

Sort By:
Pageof 1
The Protein Journal|December 19, 2023
Significance of Sequence Features in Classification of Protein-Protein Interactions Using Machine LearningSini S Raj, S S Vinod Chandra
Journal of Bioinformatics and Computational Biology|September 30, 2021
Mining of structural motifs in proteins using artificial bee colony optimization framework for druggabilityL S Suma, S S Vinod Chandra
BMC Cancer|January 27, 2017
An approach to forecast human cancer by profiling microRNA expressions from NGS dataA Salim, R Amjesh, S S Vinod Chandra
Scientific Reports|March 19, 2026
Multilayer pyramid pooling self-attention for landslide detection using vision transformersS Sreelakshmi, S S Vinod Chandra, Daud Ali, et al.
Journal of Ambient Intelligence and Humanized Computing|August 9, 2021
Nature inspired optimization model for classification and severity prediction in COVID-19 clinical datasetL S Suma, H S Anand, S S Vinod Chandra
Evolutionary Intelligence|June 29, 2022
COVID-19 severity detection using machine learning techniques from CT-imagesA L Aswathy, Hareendran S Anand, S S Vinod Chandra
Journal of Biomolecular Structure & Dynamics|July 13, 2022
A new approach used in docking study for predicting the combination drug efficacy in EML4-ALK target of NSCLCSaleena Younus, S S Vinod Chandra, Junaida Ibrahim, et al.
Journal of Translational Medicine|February 16, 2025
Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donorsC G Raji, S S Vinod Chandra, Noble Gracious, et al.
Genomics|March 8, 2011
Identification and analysis of novel microRNAs from fragile sites of human cervical cancer: computational and experimental approachG Reshmi, S S Vinod Chandra, V Janki Mohan Babu, et al.
Pageof 1