A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.
Ainscough, Benjamin J
A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data. [electronic resource] - Nature genetics 12 2018 - 1735-1743 p. digital
Publication Type: Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1546-1718
10.1038/s41588-018-0257-y doi
Algorithms
Computer Simulation
DNA Mutational Analysis--instrumentation
Deep Learning
Electronic Data Processing--methods
High-Throughput Nucleotide Sequencing--instrumentation
Humans
Mutation
Neoplasms--genetics
Polymorphism, Single Nucleotide
Reproducibility of Results
Sequence Analysis, DNA--instrumentation
Software
A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data. [electronic resource] - Nature genetics 12 2018 - 1735-1743 p. digital
Publication Type: Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1546-1718
10.1038/s41588-018-0257-y doi
Algorithms
Computer Simulation
DNA Mutational Analysis--instrumentation
Deep Learning
Electronic Data Processing--methods
High-Throughput Nucleotide Sequencing--instrumentation
Humans
Mutation
Neoplasms--genetics
Polymorphism, Single Nucleotide
Reproducibility of Results
Sequence Analysis, DNA--instrumentation
Software