Inferring clonal composition from multiple sections of a breast cancer
about
Computational Cancer Biology: An Evolutionary PerspectiveCancer evolution: mathematical models and computational inferenceSubcloneSeeker: a computational framework for reconstructing tumor clone structure for cancer variant interpretation and prioritization.Reconstruction of clonal trees and tumor composition from multi-sample sequencing data.A simplicial complex-based approach to unmixing tumor progression data.Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study.Medoidshift clustering applied to genomic bulk tumor data.ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data.Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing.Enhancing cancer clonality analysis with integrative genomics.Tree inference for single-cell data.FISHtrees 3.0: Tumor Phylogenetics Using a Ploidy ProbeUnderexpression of Specific Interferon Genes Is Associated with Poor Prognosis of MelanomaphyC: Clustering cancer evolutionary trees.Algorithmic methods to infer the evolutionary trajectories in cancer progression.A Distributed Network for Intensive Longitudinal Monitoring in Metastatic Triple-Negative Breast CancerComputational Methods for Characterizing Cancer Mutational Heterogeneity.Advances in understanding tumour evolution through single-cell sequencing.Cell subpopulation deconvolution reveals breast cancer heterogeneity based on DNA methylation signature.Bayesian inference for intratumour heterogeneity in mutations and copy number variation.Evolutionary scalpels for dissecting tumor ecosystems.The evolution of tumour phylogenetics: principles and practice.Clonal genotype and population structure inference from single-cell tumor sequencing.PhyloWGS: reconstructing subclonal composition and evolution from whole-genome sequencing of tumors.Multiregional Tumor Trees Are Not Phylogenies.SiFit: inferring tumor trees from single-cell sequencing data under finite-sites modelsEngineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.Automated deconvolution of structured mixtures from heterogeneous tumor genomic data.Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies.Tumor phylogeny inference using tree-constrained importance sampling.The Hamming Ball Sampler.Characterization of tumor heterogeneity by latent haplotypes: a sequential Monte Carlo approach.Identifying Heterogeneity Patterns of Allelic Imbalance on Germline Variants to Infer Clonal Architecture
P2860
Q26769024-01CB96E5-8587-44E2-92AF-8E8A6BF64526Q27002537-C8E840D7-08F8-4AE5-8320-61D558893E44Q30410213-7B356DB2-BFEE-41CD-A8E3-08BA0F83FBFCQ30971311-3F949D60-7682-4546-80D8-9E0AF457B7F6Q30986760-FEB916AF-9170-4C21-9492-7CA110AC74D6Q30992438-3B3C9F3E-A956-49BF-9C14-58FE7CA83F35Q31040446-67327EF2-7BED-4CB8-A9C2-9F9A78634C64Q31168783-02143BC0-9452-4DC2-9A2C-6358B4863F3EQ34538858-B9F4B8FC-90E4-492E-827E-6CDD35336CC3Q35794451-28C95141-DFD6-4886-863B-67460B64FCC1Q36009874-360FE31A-4B1D-4C76-A45D-52F86E3939C5Q36064765-3B3D31A0-B99C-473F-B430-48745B8BA32BQ36257430-A11A4935-E9DC-49B2-8E02-14EC0CED3C7CQ36359693-FE85EDAC-F5DC-4071-B613-10D3B42D5F55Q37102361-56027FB1-8979-47C4-B165-6F21CB4919BFQ37146398-A926C9A0-4448-4ABA-8E1D-92916AAB06C3Q38703541-E42F2380-52B3-412D-A23E-0DDF398CD87AQ38758032-104C9A08-CE05-4D55-945E-B982EA9D9845Q38783085-62E25037-1E37-4D50-BD01-B5EA6784CB38Q38810144-3A2296BE-2F5A-4ED8-9412-E1050B67FCA7Q39030938-A38F2183-9878-4010-89BD-19988473E5BBQ39132571-8B40E65F-2A71-41D0-ABAF-2EB3179B5489Q39763281-B83AD350-6484-4187-99DF-AAEED3A57F68Q41197854-07E70836-AA4E-4A8F-BB51-7EF2EE1D083CQ41321990-7E29CDF1-AF69-4C92-8BD1-551CDA5005D8Q41713673-0F091F30-EB08-4E41-8E9B-CCA7A314F7D9Q42658938-63BAD4BE-2F16-4055-B98C-AF116B9767D4Q42695700-2177DB29-A339-4DC0-8731-FD43C1693197Q47107512-180AB9E5-C9BF-4474-A1FD-521DC98F41BFQ47322115-6768E0BA-8CE0-47DC-8188-4AAAD1AEBD6AQ49885224-24B267FF-8211-45AB-85D6-5ED337D38D1EQ55035731-79D73610-9C4B-4747-A928-4CB9E14E6001Q56687892-24A3E13F-24B8-4155-A76B-EAEEB94BB2E8
P2860
Inferring clonal composition from multiple sections of a breast cancer
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Inferring clonal composition from multiple sections of a breast cancer
@ast
Inferring clonal composition from multiple sections of a breast cancer
@en
Inferring clonal composition from multiple sections of a breast cancer
@en-gb
Inferring clonal composition from multiple sections of a breast cancer
@nl
type
label
Inferring clonal composition from multiple sections of a breast cancer
@ast
Inferring clonal composition from multiple sections of a breast cancer
@en
Inferring clonal composition from multiple sections of a breast cancer
@en-gb
Inferring clonal composition from multiple sections of a breast cancer
@nl
altLabel
Inferring Clonal Composition from Multiple Sections of a Breast Cancer
@en
prefLabel
Inferring clonal composition from multiple sections of a breast cancer
@ast
Inferring clonal composition from multiple sections of a breast cancer
@en
Inferring clonal composition from multiple sections of a breast cancer
@en-gb
Inferring clonal composition from multiple sections of a breast cancer
@nl
P2093
P2860
P50
P3181
P1476
Inferring clonal composition from multiple sections of a breast cancer
@en
P2093
C Anthony Blau
ChaoZhong Song
Debbie Nickerson
Josh Smith
Junfeng Wang
Kris Weber
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1003703
P407
P577
2014-07-10T00:00:00Z