Simo Kitanovski

The paper introduces cellmig, a Bayesian tool for quantifying cell migration velocity with uncertainty, improving reproducibility and biological insight in high-throughput assays.

The paper analyzes TCR repertoires in melanoma tumors and sentinel lymph nodes to reveal distinct clonal architectures and shared antigen recognition patterns.

This paper introduces ClustIRR, a framework for analyzing T cell receptor repertoire structure and dynamics with uncertainty quantification, demonstrating its application in antigen challenge, cancer immunotherapy, and V(D)J recombination biases.

scBubbletree provides a scalable visualization method for scRNA-seq data by clustering cells into bubbles on dendrograms, enabling quantitative assessment and biological interpretation.

The paper improves statistical model accuracy in animal research to increase information gain per animal, showing benefits for small sample sizes.

This study compares transcriptomes from SARS-CoV-2, SARS-CoV, and MERS-CoV infections to investigate alternative entry routes and innate immune responses.

The paper investigates epigenetic mechanisms driving cell state transitions in chondrocytes by analyzing histone modifications and gene expression during differentiation.