R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.

An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.

A Fast Branch and Bound Algorithm for the Perfect Tumor Phylogeny Reconstruction Problem

SCARLET (Single-cell Algorithm for Reconstructing Loss-supported Evolution of Tumors) is an algorithm that reconstructs tumor phylogenies from single-cell DNA sequencing data. SCARLET uses a loss-supported model that constrains mutation losses based on observed copy-number data.

Simulate and illustrate tumor evolution.

SIFA: identify tumor subclones and infer phylogenetic tree from WGS data

Deterministic evolution and stringent selection during pre-neoplasia

Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈

Tumor Evolution Paths Project

https://doi.org/10.5281/zenodo.6941367 - Spatiotemporal-Aware Glioblastoma Multiforme Tumor Growth Modeling with Deep Encoder-Decoder Networks

Refined SNV calling for tumor data using perfect phylogenies and ILP

TEMA (Tumor Evolution Manager and Analyzer)

Measuring a tumor's density gradient during treatment.

Comparación y análisis de la progresión de tumores en cerebros.