André C. P. L. F. de Carvalho

BioAutoML-FAST: an automated machine-learning platform for reusable and benchmarked biological sequence models

BioAutoML-FAST provides an automated ML platform for biological sequence analysis, offering reusable models and benchmarking across genomic, transcriptomic, and proteomic tasks.

BioPrediction-PPI: Simplifying the Prediction of Protein-Protein Interactions through Artificial Intelligence

BioPrediction-PPI is an end-to-end machine learning framework for predicting protein-protein interactions without deep learning, offering interpretability and competitive performance across multiple datasets.

Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models

This paper compares mathematical models for feature extraction from biological sequences, showing their effectiveness in classifying Long Non-Coding RNA and other sequence types.

MathFeature: Feature Extraction Package for Biological Sequences Based on Mathematical Descriptors

MathFeature provides a package for extracting mathematical descriptors from biological sequences to improve machine learning performance in bioinformatics.

CRISPRCasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

The paper introduces a machine learning approach to identify and classify CRISPR-Cas systems by combining regression and classification models to improve protein cascade quality and subtype prediction.