SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

由 Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio’, Balachandran Manavalan, Watshara Shoombuatong
出版 2022

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides

由 Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
出版 2022

EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINS

由 Phasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lió, Watshara Shoombuatong
出版 2022

Ibitter‐fuse: A novel sequence‐based bitter peptide predictor by fusing multi‐view features

由 Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio, Watshara Shoombuatong
出版 2022

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids

由 Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Mohammad Ali Moni, Pietro Lio’, Balachandran Manavalan, Watshara Shoombuatong
出版 2022

StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides

由 Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
出版 2022

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

由 Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, Julian M.W. Quinn, Mohammad Ali Moni, Pietro Lio’, Watshara Shoombuatong
出版 2022

SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins

由 Saeed Ahmad, Phasit Charoenkwan, Julian M.W. Quinn, Mohammad Ali Moni, Md Mehedi Hasan, Pietro Lio’, Watshara Shoombuatong
出版 2022