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Balachandran Manavalan

Showing results (51-60 of 124) with videos related to

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Plos One|January 5, 2011
Structure-function relationship of cytoplasmic and nuclear IκB proteins: an in silico analysisBalachandran Manavalan, Shaherin Basith, Yong-Min Choi, et al.
Plos One|June 26, 2024
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNAMd Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
Computational and Structural Biotechnology Journal|August 3, 2019
AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized TreesBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|January 5, 2024
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNANhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, et al.
Bioinformatics (Oxford, England)|December 28, 2018
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|November 5, 2020
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking frameworkLeyi Wei, Wenjia He, Adeel Malik, et al.
Current Protein & Peptide Science|January 21, 2020
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Plant Molecular Biology|March 7, 2020
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal|April 24, 2020
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemesMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Journal of Proteome Research|June 13, 2018
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, et al.
Pageof 13

Showing results (51-60 of 124) with videos related to

Sort By:
Pageof 13
Plos One|January 5, 2011
Structure-function relationship of cytoplasmic and nuclear IκB proteins: an in silico analysisBalachandran Manavalan, Shaherin Basith, Yong-Min Choi, et al.
Plos One|June 26, 2024
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNAMd Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
Computational and Structural Biotechnology Journal|August 3, 2019
AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized TreesBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|January 5, 2024
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNANhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, et al.
Bioinformatics (Oxford, England)|December 28, 2018
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|November 5, 2020
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking frameworkLeyi Wei, Wenjia He, Adeel Malik, et al.
Current Protein & Peptide Science|January 21, 2020
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Plant Molecular Biology|March 7, 2020
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal|April 24, 2020
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemesMd Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Journal of Proteome Research|June 13, 2018
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, et al.
Pageof 13