IEEE

Adaptive Gene Selection Based Effective Cancer Diagnosis and Classification Using Metaheuristic Optimization Algorithms and Deep Learning

Abstract: Identifying cancer accurately from gene expression data proves difficult because genomic datasets contain many features and are hard to understand. This research brings together gene ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Optimizing Machine Learning Models for Accessible Early Cognitive Impairment Prediction: A Novel Cost-Effective Model Selection Algorithm

Abstract: Cognitive impairment and dementia-related diseases develop several years before moderate or severe deterioration in cognitive function occurs. Nevertheless, most dementia cases, especially ...