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Manjari Kiran

Showing results (1-10 of 28) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|June 24, 2025
R-Based Protocols to Predict Synthetic Lethal Interactions in Cancers Using Machine Learning ToolsAnubha Dey, Manjari Kiran
Methods in Molecular Biology (Clifton, N.J.)|June 24, 2025
Machine Learning Approaches for the Identification of Genetic InteractionsAnubha Dey, Manjari Kiran
Journal of Proteome Research|September 21, 2013
Global versus local hubs in human protein-protein interaction networkManjari Kiran, Hampapathalu Adimurthy Nagarajaram
Plos Computational Biology|August 26, 2024
MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction networkAnubha Dey, Suresh Mudunuri, Manjari Kiran
Frontiers in Oncology|July 14, 2020
Sirtuin 7 Promotes Mesenchymal to Epithelial Transition by β-Catenin Redistribution and StabilizationShashi Kiran, Manjari Kiran, Gayatri Ramakrishna
Methodsx|April 19, 2024
CaTCH: Calculating transcript complexity of human genesKoushiki Basu, Anubha Dey, Manjari Kiran
RNA Biology|August 6, 2023
Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouseKoushiki Basu, Anubha Dey, Manjari Kiran
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2023
Hubs and Bottlenecks in Protein-Protein Interaction NetworksChandramohan Nithya, Manjari Kiran, Hampapathalu Adimurthy Nagarajaram
Computational Biology and Chemistry|January 5, 2023
Dissection of hubs and bottlenecks in a protein-protein interaction networkChandramohan Nithya, Manjari Kiran, Hampapathalu Adimurthy Nagarajaram
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2023
Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X DataSamayaditya Singh, Manjari Kiran, Pramod R Somvanshi
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|June 24, 2025
R-Based Protocols to Predict Synthetic Lethal Interactions in Cancers Using Machine Learning ToolsAnubha Dey, Manjari Kiran
Methods in Molecular Biology (Clifton, N.J.)|June 24, 2025
Machine Learning Approaches for the Identification of Genetic InteractionsAnubha Dey, Manjari Kiran
Journal of Proteome Research|September 21, 2013
Global versus local hubs in human protein-protein interaction networkManjari Kiran, Hampapathalu Adimurthy Nagarajaram
Plos Computational Biology|August 26, 2024
MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction networkAnubha Dey, Suresh Mudunuri, Manjari Kiran
Frontiers in Oncology|July 14, 2020
Sirtuin 7 Promotes Mesenchymal to Epithelial Transition by β-Catenin Redistribution and StabilizationShashi Kiran, Manjari Kiran, Gayatri Ramakrishna
Methodsx|April 19, 2024
CaTCH: Calculating transcript complexity of human genesKoushiki Basu, Anubha Dey, Manjari Kiran
RNA Biology|August 6, 2023
Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouseKoushiki Basu, Anubha Dey, Manjari Kiran
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2023
Hubs and Bottlenecks in Protein-Protein Interaction NetworksChandramohan Nithya, Manjari Kiran, Hampapathalu Adimurthy Nagarajaram
Computational Biology and Chemistry|January 5, 2023
Dissection of hubs and bottlenecks in a protein-protein interaction networkChandramohan Nithya, Manjari Kiran, Hampapathalu Adimurthy Nagarajaram
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2023
Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X DataSamayaditya Singh, Manjari Kiran, Pramod R Somvanshi
Pageof 3