Validation of the MitoTracer algorithm.

<p>(A) Unsupervised hierarchical clustering of the VAF matrix of 24 informative MT mutations showed a clear clustering of BT142 and K562 cells for the MAESTER dataset. (B) Unsupervised hierarchical clustering of the VAF matrix of 47 informative MT mutations showed a clear clustering of GM11906...

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Bibliographic Details
Main Author:	Xuexin Yu (733842) (author)
Other Authors:	Jing Hu (41899) (author), Yuhao Tan (15227659) (author), Mingyao Pan (21587178) (author), Hongyi Zhang (431841) (author), Bo Li (112195) (author)
Published:	2025
Subjects:	Genetics Molecular Biology Evolutionary Biology Cancer Infectious Diseases Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> mitochondrial natural genetic markers mutated cancer cells inferred evolutionary lineage existing methods measured informative mitochondrial mutations benchmarked mitotracer using based lineage tracing informative mt mutations mutations serve work provided valuable tool superior performance mt mutation mitotracer facilitates inhibitor resistance high sensitivity genes related fundamental challenge
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Validation of the MitoTracer algorithm.

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