Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine.
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The shortest path is not the one you know: application of biological network resources in precision oncology researchTargeted Cancer Therapy: Vital Oncogenes and a New Molecular Genetic Paradigm for Cancer Initiation Progression and TreatmentComputational characterisation of cancer molecular profiles derived using next generation sequencingThe challenges of tumor genetic diversity.Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers.Review of current methods, applications, and data management for the bioinformatics analysis of whole exome sequencing.Modeling Tumor Clonal Evolution for Drug Combinations DesignA novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity.Utilizing somatic mutation data from numerous studies for cancer research: proof of concept and applications.Computational prognostic indicators for breast cancer.Identification and analysis of driver missense mutations using rotation forest with feature selection.Expanding the computational toolbox for mining cancer genomes.Cancer progression modeling using static sample dataThe structural basis for cancer treatment decisions.MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysisVariation Interpretation Predictors: Principles, Types, Performance, and Choice.Cancer systems biology of TCGA SKCM: efficient detection of genomic drivers in melanoma.A cancer theory kerfuffle can lead to new lines of researchCEMP1 Induces Transformation in Human Gingival Fibroblasts.Evaluation of two highly-multiplexed custom panels for massively parallel semiconductor sequencing on paraffin DNAComputational methods and resources for the interpretation of genomic variants in cancerCoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer.Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.Systematic pan-cancer analysis of tumour purity.Systematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based ApproachEstablishment of human iPSC-based models for the study and targeting of glioma initiating cellsAdvances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomesMutational Analysis of Extranodal NK/T-Cell Lymphoma Using Targeted Sequencing with a Comprehensive Cancer PanelAssociation mining of mutated cancer genes in different clinical stages across 11 cancer typesDeciphering oncogenic drivers: from single genes to integrated pathways.Genomics in acute lymphoblastic leukaemia: insights and treatment implications.Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information.Targeting tumor suppressor genes for cancer therapy.Computational Methods for Characterizing Cancer Mutational Heterogeneity.Computational approaches for the identification of cancer genes and pathwaysProtein-protein interactions: detection, reliability assessment and applications.SMT and TOFT: Why and How They are Opposite and Incompatible Paradigms.Reprogramming strategies for the establishment of novel human cancer models.Impacts of somatic mutations on gene expression: an association perspective.Limitations of the Driver/Passenger Model in Cancer Prevention.
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Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 30 January 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Identifying driver mutations i ...... to enable precision medicine.
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Identifying driver mutations i ...... to enable precision medicine.
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type
label
Identifying driver mutations i ...... to enable precision medicine.
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Identifying driver mutations i ...... to enable precision medicine.
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Identifying driver mutations i ...... to enable precision medicine.
@en
Identifying driver mutations i ...... to enable precision medicine.
@nl
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Identifying driver mutations i ...... to enable precision medicine.
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Benjamin J Raphael
Fabio Vandin
Jason R Dobson
Layla Oesper
P2860
P2888
P356
10.1186/GM524
P577
2014-01-30T00:00:00Z
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P6179
1050199913