Recurrent and functional regulatory mutations in breast cancer. - Wikidata - wikimedia - TriplyDB

Recurrent and functional regulatory mutations in breast cancer.

Recurrent and functional regulatory mutations in breast cancer.

http://www.wikidata.org/entity/Q50918699

about

Canonical and non-canonical WNT signaling in cancer stem cells and their niches: Cellular heterogeneity, omics reprogramming, targeted therapy and tumor plasticity (Review)An exome sequencing based approach for genome-wide association studies in the dog.Mapping genomic and transcriptomic alterations spatially in epithelial cells adjacent to human breast carcinoma.A prognostic 4-gene expression signature for patients with HER2-negative breast cancer receiving taxane and anthracycline-based chemotherapy.MYBL1 rearrangements and MYB amplification in breast adenoid cystic carcinomas lacking the MYB-NFIB fusion gene.Whole Genome Sequencing Analysis for Cancer Genomics and Precision Medicine.Analysis of somatic microsatellite indels identifies driver events in human tumors.IW-Scoring: an Integrative Weighted Scoring framework for annotating and prioritizing genetic variations in the noncoding genome.Identification of Single Nucleotide Non-coding Driver Mutations in Cancer.Chromatin reprogramming in breast cancer.Dissecting the sources of gene expression variation in a pan-cancer analysis identifies novel regulatory mutations.An integrative bioinformatics approach reveals coding and non-coding gene variants associated with gene expression profiles and outcome in breast cancer molecular subtypes.Cancer genomics: Less is more in the hunt for driver mutations.Rpp29 regulates histone H3.3 chromatin assembly through transcriptional mechanisms.Multi‑layered prevention and treatment of chronic inflammation, organ fibrosis and cancer associated with canonical WNT/β‑catenin signaling activation (Review).Sputum Detection of Predisposing Genetic Mutations in Women with Pulmonary Nontuberculous Mycobacterial Disease Applications of RNA Indexes for Precision Oncology in Breast Cancer Frequent mutation of the untranslated region in prostate cancer Long Non-coding RNA NEAT1: A Novel Target for Diagnosis and Therapy in Human Tumors Sc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA in Lobaplatin inhibits breast cancer progression, cell proliferation while induces cell apoptosis by downregulating MTDH expression

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Recurrent and functional regulatory mutations in breast cancer.

http://www.wikidata.org/entity/Q50918699

description

2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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name

Recurrent and functional regulatory mutations in breast cancer.

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Recurrent and functional regulatory mutations in breast cancer.

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type

label

Recurrent and functional regulatory mutations in breast cancer.

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Recurrent and functional regulatory mutations in breast cancer.

@nl

prefLabel

Recurrent and functional regulatory mutations in breast cancer.

@en

Recurrent and functional regulatory mutations in breast cancer.

@nl

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Recurrent and functional regulatory mutations in breast cancer.

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A John Iafrate

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Adam Tracy

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Alfredo Hidalgo-Miranda

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Amaro Taylor-Weiner

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Andre Bernards

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Carrie Cibulskis

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Chip Stewart

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Esther Rheinbay

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Grace Tiao

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Jaegil Kim

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An integrated encyclopedia of DNA elements in the human genome

Differential oestrogen receptor binding is associated with clinical outcome in breast cancer

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

Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities

Mutational processes molding the genomes of 21 breast cancers

Comprehensive molecular portraits of human breast tumours

Fast and accurate short read alignment with Burrows-Wheeler transform

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

The Sequence Alignment/Map format and SAMtools

Principal components analysis corrects for stratification in genome-wide association studies

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10.1038/NATURE22992

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Matthew Meyerson

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2017-06-28T00:00:00Z

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