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M Kaykobad

Showing results (1-10 of 5) with videos related to

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Thescientificworldjournal|July 22, 2014
New sufficient conditions for Hamiltonian pathsM Sohel Rahman, M Kaykobad, Jesun Sahariar Firoz
Artificial Intelligence in Medicine|March 16, 2019
Antigenic: An improved prediction model of protective antigensM Saifur Rahman, Md Khaledur Rahman, Sanjay Saha, et al.
Journal of Theoretical Biology|May 14, 2018
DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAACM Saifur Rahman, Swakkhar Shatabda, Sanjay Saha, et al.
Bioinformatics (Oxford, England)|June 7, 2023
NoVaTeST: identifying genes with location-dependent noise variance in spatial transcriptomics dataMohammed Abid Abrar, M Kaykobad, M Saifur Rahman, et al.
Artificial Intelligence in Medicine|November 30, 2017
isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selectionM Saifur Rahman, Md Khaledur Rahman, M Kaykobad, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Thescientificworldjournal|July 22, 2014
New sufficient conditions for Hamiltonian pathsM Sohel Rahman, M Kaykobad, Jesun Sahariar Firoz
Artificial Intelligence in Medicine|March 16, 2019
Antigenic: An improved prediction model of protective antigensM Saifur Rahman, Md Khaledur Rahman, Sanjay Saha, et al.
Journal of Theoretical Biology|May 14, 2018
DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAACM Saifur Rahman, Swakkhar Shatabda, Sanjay Saha, et al.
Bioinformatics (Oxford, England)|June 7, 2023
NoVaTeST: identifying genes with location-dependent noise variance in spatial transcriptomics dataMohammed Abid Abrar, M Kaykobad, M Saifur Rahman, et al.
Artificial Intelligence in Medicine|November 30, 2017
isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selectionM Saifur Rahman, Md Khaledur Rahman, M Kaykobad, et al.
Pageof 1