[HTML][HTML] New boosting approaches for improving cluster-based undersampling in problems with imbalanced data

IA Khandokar, S Shatabda - Decision Analytics Journal, 2023 - Elsevier
Class unbalanced datasets are frequently encountered in a variety of areas including health,
security, and finance. Often these datasets create bias in the supervised learning models …

Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features

ME Arafat, MW Ahmad, SM Shovan, A Dehzangi… - Genes, 2020 - mdpi.com
Post Translational Modification (PTM) is defined as the alteration of protein sequence upon
interaction with different macromolecules after the translation process. Glutarylation is …

Propionylation Characterization Ensembling Classifiers on Varied Features

Z Ferdousee, SM Shovan… - 2023 26th International …, 2023 - ieeexplore.ieee.org
A recently discovered post-translational modification (PTM) called propionylation where
propionyl group is added in the lysine amino acid's side chains causing diversity and …

Enhanced Characterization Performance of Propionylation PTM utilizing multiple feature fusion

SM Shovan, B Ahmed - Proceedings of the 2nd International Conference …, 2022 - dl.acm.org
Propionylation post-transnational modification (PTM) is a relatively new and salient
modification occurs in the side chain of lysine amino acids under different conditions in both …

Accurate prediction of formylation ptm site using multiple feature fusion with lightgbm resolving data imbalance issue

SM Shovan, MAM Hasan… - 2020 23rd International …, 2020 - ieeexplore.ieee.org
Formylation is a lysine post-translational modification that is recently discovered in histone. It
has significance in DNA binding and responsible for the epigenetics of chromatin activities …