Trends in the development of miRNA bioinformatics tools
L Chen, L Heikkinen, C Wang, Y Yang… - Briefings in …, 2019 - academic.oup.com
MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression via
recognition of cognate sequences and interference of transcriptional, translational or …
recognition of cognate sequences and interference of transcriptional, translational or …
Approaches to microRNA discovery
MicroRNAs (miRNAs) are noncoding RNAs that can regulate gene expression. Several
hundred genes encoding miRNAs have been experimentally identified in animals, and …
hundred genes encoding miRNAs have been experimentally identified in animals, and …
BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches
B Liu - Briefings in bioinformatics, 2019 - academic.oup.com
With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems is how to computationally analyze their structures and functions …
most challenging problems is how to computationally analyze their structures and functions …
A hybrid CNN-LSTM model for pre-miRNA classification
Abstract miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …
Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells
MicroRNAs (miRNAs) are emerging as important, albeit poorly characterized, regulators of
biological processes. Key to further elucidation of their roles is the generation of more …
biological processes. Key to further elucidation of their roles is the generation of more …
[HTML][HTML] Pse-in-One 2.0: an improved package of web servers for generating various modes of pseudo components of DNA, RNA, and protein sequences
B Liu, H Wu, KC Chou - Natural science, 2017 - scirp.org
Pse-in-One 2.0 is a package of web-servers evolved from Pse-in-One (Liu, B., Liu, F., Wang,
X., Chen, J. Fang, L. & Chou, KC Nucleic Acids Research, 2015, 43: W65-W71). In order to …
X., Chen, J. Fang, L. & Chou, KC Nucleic Acids Research, 2015, 43: W65-W71). In order to …
A novel hierarchical selective ensemble classifier with bioinformatics application
Selective ensemble learning is a technique that selects a subset of diverse and accurate
basic models in order to generate stronger generalization ability. In this paper, we proposed …
basic models in order to generate stronger generalization ability. In this paper, we proposed …
Active learning from imbalanced data: A solution of online weighted extreme learning machine
H Yu, X Yang, S Zheng, C Sun - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
It is well known that active learning can simultaneously improve the quality of the
classification model and decrease the complexity of training instances. However, several …
classification model and decrease the complexity of training instances. However, several …
MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features
P Jiang, H Wu, W Wang, W Ma, X Sun… - Nucleic acids …, 2007 - academic.oup.com
To distinguish the real pre-miRNAs from other hairpin sequences with similar stem-loops
(pseudo pre-miRNAs), a hybrid feature which consists of local contiguous structure …
(pseudo pre-miRNAs), a hybrid feature which consists of local contiguous structure …
Identification of real microRNA precursors with a pseudo structure status composition approach
Containing about 22 nucleotides, a micro RNA (abbreviated miRNA) is a small non-coding
RNA molecule, functioning in transcriptional and post-transcriptional regulation of gene …
RNA molecule, functioning in transcriptional and post-transcriptional regulation of gene …