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Data-driven advice for applying machine learning to bioinformatics problems

As the bioinformatics field grows, it must keep pace not only with new data but with new algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used machine learning algorithms on a set of 165 publicly available classification problems in order to provide data-driven alg...

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Podrobná bibliografie
Vydáno v:Pac Symp Biocomput
Hlavní autoři: Olson, Randal S., La Cava, William, Mustahsan, Zairah, Varik, Akshay, Moore, Jason H.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5890912/
https://ncbi.nlm.nih.gov/pubmed/29218881
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