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Open AccessJournal ArticleDOI

Deciphering Signatures of Mutational Processes Operative in Human Cancer

TLDR
This work models mutational processes as a blind source separation problem and provides a basis for characterizing mutational signatures from cancer-derived somatic mutational catalogs, paving the way to insights into the pathogenetic mechanism underlying all cancers.
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This article is published in Cell Reports.The article was published on 2013-01-31 and is currently open access. It has received 1068 citations till now.

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Citations
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Journal ArticleDOI

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov, +84 more
- 22 Aug 2013 - 
TL;DR: It is shown that hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types, and this results reveal the diversity of mutational processes underlying the development of cancer.
Journal Article

Patterns of Somatic Mutation in Human Cancer Genomes

TL;DR: In this paper, the coding exons of the family of 518 protein kinases were sequenced in 210 cancers of diverse histological types to explore the nature of the information that will be derived from cancer genome sequencing.
Journal ArticleDOI

Genomic analyses identify molecular subtypes of pancreatic cancer

Peter Bailey, +128 more
- 03 Mar 2016 - 
TL;DR: Detailed genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-β, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing.
Journal ArticleDOI

Maftools: efficient and comprehensive analysis of somatic variants in cancer.

TL;DR: An R Bioconductor package, Maftools, is described, which offers a multitude of analysis and visualization modules that are commonly used in cancer genomic studies, including driver gene identification, pathway, signature, enrichment, and association analyses, and is independent of larger alignment files.
Journal ArticleDOI

Landscape of somatic mutations in 560 breast cancer whole-genome sequences

Serena Nik-Zainal, +89 more
- 02 Jun 2016 - 
TL;DR: This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operative, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer.
References
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Journal ArticleDOI

Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

TL;DR: A new graphical display is proposed for partitioning techniques, where each cluster is represented by a so-called silhouette, which is based on the comparison of its tightness and separation, and provides an evaluation of clustering validity.
Journal ArticleDOI

Learning the parts of objects by non-negative matrix factorization

TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.

Learning parts of objects by non-negative matrix factorization

D. D. Lee
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
Journal ArticleDOI

Data clustering: 50 years beyond K-means

TL;DR: A brief overview of clustering is provided, well known clustering methods are summarized, the major challenges and key issues in designing clustering algorithms are discussed, and some of the emerging and useful research directions are pointed out.
Book ChapterDOI

Data Clustering: 50 Years Beyond K-means

TL;DR: Cluster analysis as mentioned in this paper is the formal study of algorithms and methods for grouping objects according to measured or perceived intrinsic characteristics, which is one of the most fundamental modes of understanding and learning.
Related Papers (5)

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov, +84 more
- 22 Aug 2013 - 

Mutational Processes Molding the Genomes of 21 Breast Cancers

Mutational heterogeneity in cancer and the search for new cancer-associated genes

Michael S. Lawrence, +96 more
- 11 Jul 2013 -