Pablo G. Cámara

This paper introduces GWProt, a framework using metric geometry to analyze protein structures, identifying conformational switches and shared functional domains across proteins.

The paper introduces CellAligner, a framework to robustly compare subcellular protein organization across morphologically distinct cells, improving classification accuracy in neuronal imaging.

ImmunoPheno designs and analyzes immunophenotyping experiments using single-cell proteo-transcriptomic data to improve accuracy and reproducibility.

This paper screens autism-associated genes in C. elegans to identify their impact on GABA neuron remodeling and behavior, revealing distinct developmental trajectories and new molecular mechanisms.

The paper introduces ConDecon, a clustering-independent method to estimate cell abundances in bulk tissues using single-cell RNA-seq data, and applies it to study neurodegenerative microglia pathways in pediatric ependymoma.

This paper introduces a computational framework to integrate single-cell morphological data with RNA-seq data to uncover genes related to neuronal plasticity.

The paper uses single-cell RNA-seq and enhancer editing to study thalamic nuclei formation in mice, revealing lineage-specific gene expression programs and their role in neurodevelopmental disorders.

The paper introduces STvEA, a method that integrates single-cell RNA-seq with mIHC data to improve cell population annotation in cytometry datasets.

This paper introduces scNT-Seq, a method to measure newly-transcribed and pre-existing RNAs in single cells, revealing gene regulatory networks and RNA dynamics in neurons and embryonic stem cells.

This study uses scRNA-seq to reveal a novel multi-hormone cell cluster and lineage plasticity in the adult mouse pituitary under physiological stress.