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Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

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TLDR
Novel stemness indices for assessing the degree of oncogenic dedifferentiation are provided and it is found that the dedifferentiated oncogenic phenotype was generally most prominent in metastatic tumors.
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This article is published in Cell.The article was published on 2018-04-05 and is currently open access. It has received 1099 citations till now. The article focuses on the topics: Cancer stem cell & Induced pluripotent stem cell.

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Integrative analysis of 111 reference human epigenomes

TL;DR: In this article, the authors describe the integrative analysis of 111 reference human epigenomes generated as part of the NIH Roadmap Epigenomics Consortium, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression.
Journal ArticleDOI

Hallmarks of Cancer: New Dimensions

TL;DR: The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underlying principles as mentioned in this paper , which are used to understand mechanisms of cancer development and malignant progression, and apply that knowledge to cancer medicine.
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Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

Katherine A Hoadley, +738 more
- 05 Apr 2018 - 
TL;DR: Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, Pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which may inform strategies for future therapeutic development.
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Hallmarks of Cancer: New Dimensions.

Douglas Hanahan
- 01 Jan 2022 - 
TL;DR: The prospect is raised that phenotypic plasticity and disrupted differentiation is a discrete hallmark capability, and that nonmutational epigenetic reprogramming and polymorphic microbiomes both constitute distinctive enabling characteristics that facilitate the acquisition of hallmark capabilities.
Posted ContentDOI

The UCSC Xena platform for public and private cancer genomics data visualization and interpretation

TL;DR: UCSC Xena as mentioned in this paper is a web-based visualization tool for both public and private omics data, supported through Xena Browser and multiple turn-key Xena Hubs, allowing researchers to view their own data securely, using private Xena hubs, simultaneously visualizing large public cancer genomics datasets, including TCGA and the GDC.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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Hallmarks of cancer: the next generation.

TL;DR: Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer.
Journal ArticleDOI

Integrative analysis of 111 reference human epigenomes

Anshul Kundaje, +123 more
- 19 Feb 2015 - 
TL;DR: It is shown that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease.
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