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Tae Hwan Shin

Showing results (1-10 of 59) with videos related to

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Archives of Toxicology|October 5, 2023
Reduced lysosomal activity and increased amyloid beta accumulation in silica-coated magnetic nanoparticles-treated microgliaTae Hwan Shin, Gwang Lee
Oncotarget|February 9, 2018
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran Manavalan, Tae Hwan Shin, Gwang Lee
Medicinal Research Reviews|January 11, 2020
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screeningShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Briefings in Bioinformatics|November 24, 2020
Computational prediction of species-specific yeast DNA replication origin via iterative feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Molecular Therapy. Nucleic Acids|September 23, 2019
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice GenomeShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal|November 15, 2018
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Biomolecules|June 2, 2021
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular DynamicsShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
International Journal of Molecular Sciences|April 17, 2019
A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-αShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Frontiers in Immunology|August 16, 2018
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide PredictionsBalachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, 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.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Archives of Toxicology|October 5, 2023
Reduced lysosomal activity and increased amyloid beta accumulation in silica-coated magnetic nanoparticles-treated microgliaTae Hwan Shin, Gwang Lee
Oncotarget|February 9, 2018
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran Manavalan, Tae Hwan Shin, Gwang Lee
Medicinal Research Reviews|January 11, 2020
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screeningShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Briefings in Bioinformatics|November 24, 2020
Computational prediction of species-specific yeast DNA replication origin via iterative feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Molecular Therapy. Nucleic Acids|September 23, 2019
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice GenomeShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal|November 15, 2018
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Biomolecules|June 2, 2021
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular DynamicsShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
International Journal of Molecular Sciences|April 17, 2019
A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-αShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Frontiers in Immunology|August 16, 2018
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide PredictionsBalachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, 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.
Pageof 6