TTD: Therapeutic Target Database describing target druggability information

Y Zhou, Y Zhang, D Zhao, X Yu, X Shen… - Nucleic acids …, 2024 - academic.oup.com
Target discovery is one of the essential steps in modern drug development, and the
identification of promising targets is fundamental for developing first-in-class drug. A variety …

CO‐WOA: novel optimization approach for deep learning classification of fish image

RM Aziz, R Mahto, A Das, SU Ahmed… - Chemistry & …, 2023 - Wiley Online Library
The most significant groupings of cold‐blooded creatures are the fish family. It is crucial to
recognize and categorize the most significant species of fish since various species of …

Identification of breast lesion through integrated study of gorilla troops optimization and rotation-based learning from MRI images

T Si, DK Patra, S Mallik, A Bandyopadhyay, A Sarkar… - Scientific Reports, 2023 - nature.com
Breast cancer has emerged as the most life-threatening disease among women around the
world. Early detection and treatment of breast cancer are thought to reduce the need for …

An Efficient Clustering Algorithm on Next-Generation Sequence Data

MK Gupta, SK Pati - International Conference on Frontiers in Computing …, 2023 - Springer
The clustering algorithms are an unsupervised machine learning methodology widely
utilized in various fields to find and identify patterns in data. In bioinformatics, clustering …