Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations

Abstract Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few ncRNAs’ functions have been well studied. Given the significance of ncRNAs classification for understanding ncRNAs’ functions, more and more computational methods have been introduced to improv...

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Vydané v:	Briefings in bioinformatics Ročník 22; číslo 4
Hlavní autori:	Li, Ying, Zhang, Qi, Liu, Zhaoqian, Wang, Cankun, Han, Siyu, Ma, Qin, Du, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 01.07.2021 Oxford Publishing Limited (England)
Predmet:	Algorithms Alignment Artificial neural networks Biological activity Classification Clustering Computer applications Ensemble learning Gene sequencing Machine learning Neural networks Non-coding RNA Phylogenetics Phylogeny Representations Source code GcForest ncRNAs clustering deep fusion framework multi-view structure feature representation pairwise ncRNAs classification
ISSN:	1467-5463, 1477-4054, 1477-4054
On-line prístup:	Získať plný text
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