iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

S Akbar, A Ahmad, M Hayat, AU Rehman… - Computers in Biology …, 2021 - Elsevier
Tuberculosis (TB) is a worldwide illness caused by the bacteria Mycobacterium tuberculosis.
Owing to the high prevalence of multidrug-resistant tuberculosis, numerous traditional …

Multigranular rough set model based on robust intuitionistic fuzzy covering with application to feature selection

P Jain, T Som - International Journal of Approximate Reasoning, 2023 - Elsevier
Fuzzy and intuitionistic fuzzy β covering has attracted the interest of many researchers
recently. However, some of the factors namely 1. the lack of inclusion relationship between …

PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization

W Yan, W Tang, L Wang, Y Bin… - PLoS computational …, 2022 - journals.plos.org
Prediction of therapeutic peptide is a significant step for the discovery of promising
therapeutic drugs. Most of the existing studies have focused on the mono-functional …

Double-quantitative feature selection using bidirectional three-level dependency measurements in divergence-based fuzzy rough sets

J Jiang, X Zhang, J Yang - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Feature selection benefits machine learning and knowledge acquisition, and it usually
resorts to various intelligent methodologies. Fuzzy rough sets act as a powerful platform of …

A novel (alpha, beta)-indiscernibility-assisted intuitionistic fuzzy-rough set model and its application to dimensionality reduction

S Shreevastava, P Maratha, T Som, AK Tiwari - Optimization, 2023 - Taylor & Francis
An intuitionistic fuzzy (IF) set is an interesting extension of a fuzzy set (FS) that includes more
accurate expression of the uncertainty in contrast to conventional FS theory. By considering …

Fuzzy rough assisted missing value imputation and feature selection

P Jain, A Tiwari, T Som - Neural Computing and Applications, 2023 - Springer
Presence of missing values and irrelevant features are commonplace issues that need to be
handled effectively. Missing value imputation and feature selection is an efficient technique …

MFPPDB: a comprehensive multi-functional plant peptide database

Y Yang, H Wu, Y Gao, W Tong, K Li - Frontiers in Plant Science, 2023 - frontiersin.org
Plants produce a wide range of bioactive peptides as part of their innate defense
mechanisms. With the explosive growth of plant-derived peptides, verifying the therapeutic …

A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets

AK Tiwari, A Nath, RK Pandey, P Maratha - Expert Systems with …, 2024 - Elsevier
Due to advancement of internet and lab based technologies, large volume of high
dimensional data are generated every day. These data usually consisted of several issues …

Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding

B Dong, M Li, B Jiang, B Gao, D Li, T Zhang - Frontiers in Genetics, 2022 - frontiersin.org
Antimicrobial peptides (AMPs) are alkaline substances with efficient bactericidal activity
produced in living organisms. As the best substitute for antibiotics, they have been paid …

Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets

H Bhosale, V Ramakrishnan… - Journal of Bioinformatics …, 2021 - World Scientific
Bacterial virulence can be attributed to a wide variety of factors including toxins that harm the
host. Pore-forming toxins are one class of toxins that confer virulence to the bacteria and are …