Alberto J. M. Martín

SPARE audits single-cell RNA-seq zero imputation by categorizing edits as edited, unchanged, or marker-vetoed, improving biological validity over reconstruction accuracy.

This paper identifies RNA-binding proteins and regulatory networks in Leishmania parasites across multiple species and conditions, highlighting conserved and lineage-specific RBPs and their roles in life-stage, stress, and drug resistance.

This study investigates how SARS-CoV-2 variants affect nasopharyngeal microbiota and host inflammation using 16S rRNA sequencing and machine learning, revealing variant-specific immunomicrobial signatures.

This study uses single-cell transcriptomic data from human patients to analyze gene regulatory dynamics in Rett syndrome, identifying master regulators and potential therapeutic targets.

This study identifies and characterizes non-coding RNAs (ncRNAs) across multiple Leishmania species, revealing their genomic structure and functional roles in development and host interaction.

scExplorer is a web-based tool that simplifies scRNA-seq analysis by providing an interactive platform for preprocessing, dimensional reduction, and differential expression analysis.

This paper introduces a random forest-based method to infer epigenetic marks and assign chromatin states with fewer experimental data.

This study shows that forcing dimerization between ATF6f and XBP1s enhances UPR activity, reducing protein aggregation in neurodegenerative disease models.

The paper introduces Fly T-WEoN, a tool for generating context-specific Gene Regulatory Networks in D. melanogaster by filtering known regulations using epigenomic data.