Papers: 10.1093/bioinformatics/btaa672
https://doi.org/10.1093/bioinformatics/btaa672
A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data
Cited by: 6
Author(s): Dimitrios V Vavoulis, Anthony Cutts, Jenny C. Taylor, Anna Schuh
Published: about 5 years ago
Software Mentions 4
cran: Canopy
Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation SequencingPapers that mentioned: 41
Very Likely Science (100)
Very Likely Science (80)
pypi: PyClone
Wraps rclone and provides an interface for an installation at the host or container level.Papers that mentioned: 119
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data miningPapers that mentioned: 2,431
Very Likely Science (100)