Eduardo Martínez‐Montes

The paper analyzes DNA methylation stochasticity in AML subtypes, identifying high-entropy subtypes and linking methylation entropy to transcriptional variability and leukemogenesis.

This paper introduces PARAFAC for fNIRS artifact correction, showing it improves data quality more than traditional methods.

LIONirs is a MATLAB toolbox for fNIRS data analysis that provides flexibility and simplicity in processing and visualizing brain data with multimodal integration.

The paper examines neural responses to outcomes in the iterated prisoner's dilemma game using EEG, identifying specific brain signals that predict future cooperation decisions based on previous outcomes.

This study examines how averaging methods affect auditory steady-state response (ASSR) amplitudes in rats, finding that independent epochs yield higher amplitudes and better detection rates.

This paper introduces BC-VARETA, a method for estimating brain sources and connectivity from M/EEG data using a frequency domain approach and sparse modeling.