Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae.

scientific article published on 30 September 2017

Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae. is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/SilvaCFC17
P6179Dimensions Publication ID1092001178
P356DOI10.1186/S12859-017-1839-X
P932PMC publication ID5622471
P698PubMed publication ID28964254

P50authorElizabeth Pacheco Batista FontesQ67908207
P2093author name stringJosé Cleydson F Silva
Fabio R Cerqueira
Thales F M Carvalho
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P433issue1
P921main subjectmachine learningQ2539
GeminiviridaeQ2554769
P304page(s)431
P577publication date2017-09-30
P1433published inBMC BioinformaticsQ4835939
P1476titleFangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae
P478volume18

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Q58778923Barcoding of Plant Viruses with Circular Single-Stranded DNA Based on Rolling Circle Amplificationcites workP2860

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