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Balachandran Manavalan

Showing results (81-90 of 124) with videos related to

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International Journal of Biological Macromolecules|February 11, 2023
PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal featuresAhmad Firoz, Adeel Malik, Hani Mohammed Ali, et al.
Computers in Biology and Medicine|December 4, 2024
Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan studyNhat Truong Pham, Jinsol Ko, Masaud Shah, et al.
Cells|October 31, 2019
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA <i>N</i><sup>4</sup>-methylcytosine Sites in the Mouse GenomeBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|June 26, 2022
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localizationYoung-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, et al.
International Journal of Molecular Sciences|December 10, 2021
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation LearningPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Briefings in Bioinformatics|September 10, 2020
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkMd Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, et al.
Pharmaceutics|January 21, 2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsPhasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics|May 11, 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningMd Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
MLACP 2.0: An updated machine learning tool for anticancer peptide predictionLe Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.
Computers in Biology and Medicine|May 27, 2023
DrugormerDTI: Drug Graphormer for drug-target interaction predictionJiayue Hu, Wang Yu, Chao Pang, et al.
Pageof 13

Showing results (81-90 of 124) with videos related to

Sort By:
Pageof 13
International Journal of Biological Macromolecules|February 11, 2023
PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal featuresAhmad Firoz, Adeel Malik, Hani Mohammed Ali, et al.
Computers in Biology and Medicine|December 4, 2024
Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan studyNhat Truong Pham, Jinsol Ko, Masaud Shah, et al.
Cells|October 31, 2019
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA <i>N</i><sup>4</sup>-methylcytosine Sites in the Mouse GenomeBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|June 26, 2022
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localizationYoung-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, et al.
International Journal of Molecular Sciences|December 10, 2021
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation LearningPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Briefings in Bioinformatics|September 10, 2020
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkMd Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, et al.
Pharmaceutics|January 21, 2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsPhasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics|May 11, 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningMd Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
MLACP 2.0: An updated machine learning tool for anticancer peptide predictionLe Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.
Computers in Biology and Medicine|May 27, 2023
DrugormerDTI: Drug Graphormer for drug-target interaction predictionJiayue Hu, Wang Yu, Chao Pang, et al.
Pageof 13