Cargando…
A multi-labeled tree dissimilarity measure for comparing “clonal trees” of tumor progression
We introduce a new dissimilarity measure between a pair of “clonal trees”, each representing the progression and mutational heterogeneity of a tumor sample, constructed by the use of single cell or bulk high throughput sequencing data. In a clonal tree, each vertex represents a specific tumor clone,...
Autores principales: | Karpov, Nikolai, Malikic, Salem, Rahman, Md. Khaledur, Sahinalp, S. Cenk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661107/ https://www.ncbi.nlm.nih.gov/pubmed/31372179 http://dx.doi.org/10.1186/s13015-019-0152-9 |
Ejemplares similares
-
PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data
por: Malikic, Salem, et al.
Publicado: (2019) -
Tree edit distance for leaf-labelled trees on free leafset and its comparison with frequent subsplit dissimilarity and popular distance measures
por: Koperwas, Jakub, et al.
Publicado: (2011) -
Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data
por: Malikic, Salem, et al.
Publicado: (2019) -
Tumor Phylogeny Topology Inference via Deep Learning
por: Sadeqi Azer, Erfan, et al.
Publicado: (2020) -
Cypiripi: exact genotyping of CYP2D6 using high-throughput sequencing data
por: Numanagić, Ibrahim, et al.
Publicado: (2015)