Overview of MitoTracer algorithm.
<p>(A) The whole analysis process of identifying informative MT mutations. MERCI-mtSNP calls MT mutations from single cell RNA or DNA sequencing data. The VAF matrix is generated for MitoTracer. (B) Informative MT mutation selection. MitoTracer firstly removes mutations caused by sequencing er...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p>(A) The whole analysis process of identifying informative MT mutations. MERCI-mtSNP calls MT mutations from single cell RNA or DNA sequencing data. The VAF matrix is generated for MitoTracer. (B) Informative MT mutation selection. MitoTracer firstly removes mutations caused by sequencing errors, and filters variants with extremely low/high cell- or sample-level frequency. Dirichlet process Gaussian mixture model is conducted on each MT mutation to find out informative MT mutation. We define the informative MT mutation as the absolute difference between the mean in the top two Gaussian distributions larger than the cutoff. MitoTracer uses the VAF matrix of these informative mutations to calculate the similarity matrix based on several distance methods, including the mitochondrial distance defined by ourselves, Euclidean, and correlation.</p> |
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