Marcelo Trindade dos Santos

Harnessing Interpretable Deep Learning to Predict Resistance in Klebsiella pneumoniae

This paper introduces DeepMDC, a deep learning model for predicting antimicrobial resistance in Klebsiella pneumoniae using whole-genome data, achieving strong performance and providing interpretable insights into resistance mechanisms.

CellHeap: A scRNA-seq workflow for large-scalebioinformatics data analysis

CellHeap is a scRNA-seq analysis platform designed for large-scale data processing, demonstrating improved execution time through parallelization and identifying upregulated Fc receptors in severe COVID-19 cases.

An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851

The paper updates and expands the gene regulatory network of multidrug-resistant Pseudomonas aeruginosa CCBH4851, revealing a more complex network structure.

Comparative genome analysis of a multidrug-resistant Pseudomonas aeruginosa sequence type 277 clone that harbours two copies of the blaSPM-1 gene and multiple single nucleotide polymorphisms in other resistance-associated genes

This study characterizes the genome of a multidrug-resistant Pseudomonas aeruginosa strain, identifying genomic features and resistance mechanisms.

Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa

The paper reconstructs a gene regulatory network for multidrug-resistant Pseudomonas aeruginosa and finds it to be more comprehensive than previous versions.