deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
Published 2019 View Full Article
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Title
deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
Authors
Keywords
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Journal
Frontiers in Genetics
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-01-29
DOI
10.3389/fgene.2019.00013
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Note: Only part of the references are listed.- Inherited DNA-Repair Defects in Colorectal Cancer
- (2018) Saud H. AlDubayan et al. AMERICAN JOURNAL OF HUMAN GENETICS
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- (2018) Kinisha Gala et al. ONCOGENE
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- (2018) Mateusz Buda et al. NEURAL NETWORKS
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- (2018) Yifan Yu et al. Journal of Cancer
- The dose-dependent effect of SOX9 and its incidence in colorectal cancer
- (2017) Corinne Prévostel et al. EUROPEAN JOURNAL OF CANCER
- High-depth, high-accuracy microsatellite genotyping enables precision lung cancer risk classification
- (2017) K R Velmurugan et al. ONCOGENE
- Breast cancer in neurofibromatosis type 1: overrepresentation of unfavourable prognostic factors
- (2016) Elina Uusitalo et al. BRITISH JOURNAL OF CANCER
- Clinical and Molecular Characteristics of NF1-Mutant Lung Cancer
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- Fbxw7 Tumor Suppressor
- (2016) Jun Cao et al. MEDICINE
- Toward a Shared Vision for Cancer Genomic Data
- (2016) Robert L. Grossman et al. NEW ENGLAND JOURNAL OF MEDICINE
- Genenames.org: the HGNC and VGNC resources in 2017
- (2016) Bethan Yates et al. NUCLEIC ACIDS RESEARCH
- The BioGRID interaction database: 2017 update
- (2016) Andrew Chatr-aryamontri et al. NUCLEIC ACIDS RESEARCH
- COSMIC: somatic cancer genetics at high-resolution
- (2016) Simon A. Forbes et al. NUCLEIC ACIDS RESEARCH
- Evaluating the evaluation of cancer driver genes
- (2016) Collin J. Tokheim et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Subcellular compartmentalization of docking protein-1 contributes to progression in colorectal cancer
- (2016) Teresa Friedrich et al. EBioMedicine
- Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes
- (2015) Feixiong Cheng et al. BRIEFINGS IN BIOINFORMATICS
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- (2015) J Yu et al. ONCOGENE
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- (2015) S M Haeger et al. ONCOGENE
- Different prognostic impact of STK11 mutations in non-squamous non-small-cell lung cancer
- (2015) Nicolas Pécuchet et al. Oncotarget
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- (2015) Kazufumi Honda Cell and Bioscience
- Laminin geneLAMB4is somatically mutated and expressionally altered in gastric and colorectal cancers
- (2014) Mi Ryoung Choi et al. APMIS
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- (2014) Michael S. Lawrence et al. NATURE
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- DawnRank: discovering personalized driver genes in cancer
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- Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
- (2013) J. Reimand et al. Molecular Systems Biology
- IntOGen-mutations identifies cancer drivers across tumor types
- (2013) Abel Gonzalez-Perez et al. NATURE METHODS
- Cancer Genome Landscapes
- (2013) B. Vogelstein et al. SCIENCE
- Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer
- (2012) S. Lee et al. CANCER RESEARCH
- MuSiC: Identifying mutational significance in cancer genomes
- (2012) N. D. Dees et al. GENOME RESEARCH
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- CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer
- (2011) Wing Chung Wong et al. BIOINFORMATICS
- Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
- (2009) Prateek Kumar et al. Nature Protocols
- Human Protein Reference Database--2009 update
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