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Balachandran Manavalan

Showing results (41-50 of 124) with videos related to

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Molecular Omics|November 12, 2019
Prediction of S-nitrosylation sites by integrating support vector machines and random forestMd Mehedi Hasan, Balachandran Manavalan, Mst Shamima Khatun, et al.
International Journal of Biological Macromolecules|December 6, 2019
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genomeMd Mehedi Hasan, Balachandran Manavalan, Mst Shamima Khatun, et al.
Frontiers in Pharmacology|April 12, 2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random ForestBalachandran Manavalan, Tae H Shin, Myeong O Kim, et al.
Briefings in Bioinformatics|January 17, 2019
Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsRan Su, Jie Hu, Quan Zou, et al.
Molecular Therapy. Nucleic Acids|May 31, 2019
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature RepresentationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
International Journal of Biological Macromolecules|March 30, 2023
Pretoria: An effective computational approach for accurate and high-throughput identification of CD8<sup>+</sup> t-cell epitopes of eukaryotic pathogensPhasit Charoenkwan, Nalini Schaduangrat, Nhat Truong Pham, et al.
Briefings in Bioinformatics|July 6, 2021
Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeShaherin Basith, Md Mehedi Hasan, Gwang Lee, et al.
Bioinformatics (Oxford, England)|February 27, 2021
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptidesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Computers in Biology and Medicine|August 24, 2023
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview informationShaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Expert Opinion on Therapeutic Patents|March 17, 2011
Toll-like receptor modulators: a patent review (2006-2010)Shaherin Basith, Balachandran Manavalan, Gwang Lee, et al.
Pageof 13

Showing results (41-50 of 124) with videos related to

Sort By:
Pageof 13
Molecular Omics|November 12, 2019
Prediction of S-nitrosylation sites by integrating support vector machines and random forestMd Mehedi Hasan, Balachandran Manavalan, Mst Shamima Khatun, et al.
International Journal of Biological Macromolecules|December 6, 2019
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genomeMd Mehedi Hasan, Balachandran Manavalan, Mst Shamima Khatun, et al.
Frontiers in Pharmacology|April 12, 2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random ForestBalachandran Manavalan, Tae H Shin, Myeong O Kim, et al.
Briefings in Bioinformatics|January 17, 2019
Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsRan Su, Jie Hu, Quan Zou, et al.
Molecular Therapy. Nucleic Acids|May 31, 2019
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature RepresentationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
International Journal of Biological Macromolecules|March 30, 2023
Pretoria: An effective computational approach for accurate and high-throughput identification of CD8<sup>+</sup> t-cell epitopes of eukaryotic pathogensPhasit Charoenkwan, Nalini Schaduangrat, Nhat Truong Pham, et al.
Briefings in Bioinformatics|July 6, 2021
Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeShaherin Basith, Md Mehedi Hasan, Gwang Lee, et al.
Bioinformatics (Oxford, England)|February 27, 2021
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptidesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Computers in Biology and Medicine|August 24, 2023
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview informationShaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Expert Opinion on Therapeutic Patents|March 17, 2011
Toll-like receptor modulators: a patent review (2006-2010)Shaherin Basith, Balachandran Manavalan, Gwang Lee, et al.
Pageof 13