Phenotype Inference from Text and Genomic Data (CROSBI ID 655790)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Brbić, Maria ; Piškorec, Matija ; Vidulin, Vedrana ; Kriško, Anita ; Šmuc, Tomislav ; Supek, Fran
engleski
Phenotype Inference from Text and Genomic Data
We describe ProTraits, a machine learning pipeline that systematically annotates microbes with phenotypes using a large amount of textual data from scientific literature and other online resources, as well as genome sequencing data. Moreover, by relying on a multi-view nonnegative matrix factorization approach, ProTraits pipeline is also able to discover novel phenotypic concepts from unstructured text. We present the main components of the developed pipeline and outline challenges for the application to other fields.
phenotypic trait ; microbes ; comparative genomics ; late fusion ; text mining ; non-negative matrix factorization
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Podaci o prilogu
373-377.
2017.
objavljeno
10.1007/978-3-319-71273-4_34
Podaci o matičnoj publikaciji
ECML-PKDD 2017, Lecture Notes in Computer Science
Altun, Yasemin ; Das, Kamalika ; et al.
Springer
978-3-319-71273-4
Podaci o skupu
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)
predavanje
18.09.2017-22.09.2017
Skopje, Sjeverna Makedonija