Seifert et al., 2020 - Google Patents

Integrating biological knowledge and gene expression data using pathway-guided random forests: a benchmarking study

Seifert et al., 2020

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Document ID
6263187683333847352
Author
Seifert S
Gundlach S
Junge O
Szymczak S
Publication year
Publication venue
Bioinformatics

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Snippet

Motivation High-throughput technologies allow comprehensive characterization of individuals on many molecular levels. However, training computational models to predict disease status based on omics data is challenging. A promising solution is the integration of …
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    • G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • G—PHYSICS
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    • G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
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