Genomic single rule learning with an ontology-based refinement operator

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322364" target="_blank" >RIV/68407700:21230/18:00322364 - isvavai.cz</a>

Result on the web

<a href="http://www.enbik.cz/enbik2018/abs/u166_p35_s1_P.doc" target="_blank" >http://www.enbik.cz/enbik2018/abs/u166_p35_s1_P.doc</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Genomic single rule learning with an ontology-based refinement operator

Original language description

Rule learning is a kind of machine learning method that induces a set of classification rules from a given set of training examples. As a well-known representative of this learners, we can adduce CN2, RIPPER, or PRIM. All of them use if-then statement for corresponding hypothesis formulation where the antecedent is in the form of a conjunction of logical terms, and the consequent is a class label. From a bioinformatician point of view, these learners are suitable especially for their easy and clear interpretation of hypothesis on the contrary of a neural network, for example. The other thing that can help biologists interpret their data in a more natural way is a background knowledge. Nowadays, the most popular form of background knowledge in the field of bioinformatics are ontologies, especially Gene Ontology or Disease Ontology. There are other types of structured databases such as KEGG, that can also be interpreted as an ontology or a taxonomy. In our work, we combine these two concepts, rule learning and ontologies/taxonomies, together

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/NV17-31398A" target="_blank" >NV17-31398A: Long non-coding RNAs in myelodysplastic syndromes: clinical relevance and implication in the pathogenesis</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů