Thomas Brox

CRISCross improves CRISPR-Cas9 off-target prediction by integrating epigenetic features with sequence data across cell types, showing better performance than sequence-only models.

This study examines the structure and dynamics of cardiac fibroblast nanotubes in human atrial tissue and cell lines, showing their role in intercellular communication and ECM interaction.

The paper investigates how mammalian promoters decode transcription factor dynamics using optogenetics, deep learning, and mathematical modeling, finding that inefficient coupling between TF binding and transcription initiation enhances decoding.

Similarities in neural population structures across the sensorimotor cortex enable generalization across animals in the decoding of unconstrained behavior.

This paper introduces a framework for 3D pose estimation in freely moving rats to remove movement artifacts from neural recordings, revealing new insights into motor cortex neuron tuning.

FreiPose is a deep learning framework for precise 3D motion capture of animals, showing high accuracy and reliability in tracking rats during electrophysiological and optogenetic experiments.