A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
about
Base changes in tumour DNA have the power to reveal the causes and evolution of cancer.Visualizing the structure of RNA-seq expression data using grade of membership models.Statistical Methods for Identifying Sequence Motifs Affecting Point Mutations.Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance.Understanding mutagenesis through delineation of mutational signatures in human cancer.Mutational Signatures in Breast Cancer: The Problem at the DNA LevelsigneR: an empirical Bayesian approach to mutational signature discovery.Germline Mutations in PALB2, BRCA1, and RAD51C, Which Regulate DNA Recombination Repair, in Patients With Gastric Cancer.High-risk follicular lymphomas harbour more somatic mutations including those in the AID-motifComputational approaches for discovery of mutational signatures in cancer.Punctuated evolution of canonical genomic aberrations in uveal melanoma.NSAID use and somatic exomic mutations in Barrett's esophagus.MutationalPatterns: comprehensive genome-wide analysis of mutational processes.Validating the concept of mutational signatures with isogenic cell models.Mutational Signatures in Cancer (MuSiCa): a web application to implement mutational signatures analysis in cancer samples.Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population.
P2860
Q30249783-B07AD742-6C08-4B1F-A644-89C0433D318CQ36319656-C0C9FCC7-BF43-458D-85C1-7B36C3EEC59BQ38434378-BE15952E-38CB-43E9-944C-68B30F838E2BQ38748208-36F13C79-7078-4E3F-BE38-162299884E40Q38840433-2B5766FE-7A5E-4E16-9D41-D098084D2AEDQ39345007-F5FD1709-F0C1-44E6-B7E0-9710C7A5FA08Q39426297-DD228BE3-FFCB-46B7-A323-D807F5A7CEECQ40407011-BA06977F-5D8A-44D4-B475-84E8BCE8B553Q42630555-81E2E328-7BDD-42C1-89E5-678886FC61E1Q47664589-4EDC4077-6E3C-4555-B1D0-F7111A2A82C4Q48276701-2B9402A6-F3C3-4514-8879-69A62FA48F51Q51746842-604DCE7A-1DEC-48A5-B8F8-D1E7D39D1503Q55078547-B120BD58-6930-4833-B815-7B892BAA7424Q55283304-2E29BD00-AEA2-4DEE-9F11-6D7A964DCDF4Q55405659-AFF8DF09-2197-4AEA-B51B-96E19202B9E1Q55714851-1F8DB882-130B-4772-A62A-F7EF5120FA29
P2860
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
description
2015 nî lūn-bûn
@nan
2015 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@ast
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@en
type
label
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@ast
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@en
prefLabel
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@ast
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@en
P2093
P2860
P1433
P1476
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
@en
P2093
Georg Tremmel
Matthew Stephens
Yuichi Shiraishi
P2860
P304
P356
10.1371/JOURNAL.PGEN.1005657
P577
2015-12-02T00:00:00Z