Maria T. Teleńczuk

PyDESeq2 provides a Python implementation of DESeq2 for bulk RNA-seq differential expression analysis, offering improved precision and performance on large datasets like TCGA.

The paper introduces a kernel-based method to calculate local field potentials (LFPs) from networks of spiking neurons using unitary LFPs and experimental data.

The paper models the contribution of excitatory and inhibitory synapses to local field potentials in the hippocampus, showing inhibitory uLFPs dominate and mask excitatory signals.

The paper investigates how the axon initial segment contributes to extracellular action potential signatures, showing dipole formation and changes in waveform based on initiation site.