
NCBI . NLM . NIH . GOV {
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Title[redir]:
TrAp: a tree approach for fingerprinting subclonal tumor composition - PMC
Description:
Revealing the clonal composition of a single tumor is essential for identifying cell subpopulations with metastatic potential in primary tumors or with resistance to therapies in metastatic tumors. Sequencing technologies provide only an overview of ...
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Keywords {π}
doi, google, scholar, pubmed, trap, subclones, pmc, article, free, trees, cancer, algorithm, number, evolutionary, data, tree, cell, mutations, aggregate, tumor, solution, subclonal, aberrations, nature, firstgeneration, cells, evolution, solutions, partial, problem, aberration, sequencing, supplementary, single, subclone, deconvolution, populated, frequency, figure, sample, analysis, samples, genome, mutation, constraints, clonal, signal, constraint, vector, melanoma,
Topics {βοΈ}
precursor t-lymphoblastic leukaemia/lymphoma net/projects/klugerlab/files/trap/ b-acute lymphoblastic leukaemia tgf-Ξ² receptor signaling jak2-negative myeloproliferative neoplasm t-cell-dependent mechanism aberration-free noncancerous cells supplementary figures s6βs13 stem-cell-driven cancers histiocytic/dendritic cell sarcomas /βΌsmyth/kddpapers/uci_kd-d_jung_preprint potentiated phospho-protein networks multi-drug resistant cancers single-cell exome sequencing pmc beta search high-affinity antibody molecules parsimonious neighbor-joining approaches nucleic acids research slow-cycling melanoma cells therapeutic resistance research enhanced model-based clustering current cell-sorting technologies single genome-wide experiment acute myeloid leukemia robust fixed-point algorithms single-cell aberration profiles brute-force algorithm generates detailed genome-wide reconstruction direct single-cell measurements exome-capture illumina renal cell carcinoma full evolutionary tree noise-free case exome sequencing data [google scholar] 5 [google scholar] 24 [google scholar] 29 [google scholar] 32 [google scholar] 88 [google scholar] 90 [google scholar] 93 [google scholar] 114 [google scholar] 118 [google scholar] 126 [google scholar] 127 [google scholar] 130 [google scholar] 131 [google scholar] 132 [google scholar] 133 [google scholar] 136
Questions {β}
- Intra-tumour heterogeneity: a looking glass for cancer?
- We accessed the database through the Cancer Genome Anatomy Project (CGAP) Web site (113), and we filtered out 29 842 biopsies with uncertain calls (indicated by a β?
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