AIMC Topic: RNA, Long Noncoding
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DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
Briefings in bioinformatics
Jan 17, 2022
Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growing amount of evidence reveals that subcellular localization of lncRNAs can provide valuable insights into their biological functions. Existing computat...
lncRNAfunc: a knowledgebase of lncRNA function in human cancer.
Nucleic acids research
Jan 7, 2022
The long non-coding RNAs associating with other molecules can coordinate several physiological processes and their dysfunction can impact diverse human diseases. To date, systematic and intensive annotations on diverse interaction regulations of lncR...
LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system.
Nucleic acids research
Jan 7, 2022
LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by incorporating more experimentally validated lncRNAs. Since it was built based on MediaWiki as its database system, it fails to manage data in a structur...
Feature extraction approaches for biological sequences: a comparative study of mathematical features.
Briefings in bioinformatics
Sep 2, 2021
As consequence of the various genomic sequencing projects, an increasing volume of biological sequence data is being produced. Although machine learning algorithms have been successfully applied to a large number of genomic sequence-related problems,...
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Briefings in bioinformatics
Sep 2, 2021
Predicting disease-related long non-coding RNAs (lncRNAs) is beneficial to finding of new biomarkers for prevention, diagnosis and treatment of complex human diseases. In this paper, we proposed a machine learning techniques-based classification appr...
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network.
Briefings in bioinformatics
Sep 2, 2021
Triple-negative breast cancer (TNBC) has been a challenging breast cancer subtype for oncological therapy. Normally, it can be classified into different molecular subtypes. Accurate and stable classification of the six subtypes is essential for perso...
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning.
Briefings in bioinformatics
Sep 2, 2021
MOTIVATION: mRNA location corresponds to the location of protein translation and contributes to precise spatial and temporal management of the protein function. However, current assignment of subcellular localization of eukaryotic mRNA reveals import...
A comprehensive survey on computational methods of non-coding RNA and disease association prediction.
Briefings in bioinformatics
Jul 20, 2021
The studies on relationships between non-coding RNAs and diseases are widely carried out in recent years. A large number of experimental methods and technologies of producing biological data have also been developed. However, due to their high labor ...
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Briefings in bioinformatics
Jul 20, 2021
Long noncoding RNAs (lncRNAs) play significant roles in various physiological and pathological processes via their interactions with biomolecules like DNA, RNA and protein. The existing in silico methods used for predicting the functions of lncRNA ma...
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning.
Briefings in bioinformatics
May 20, 2021
MOTIVATION: Identifying microRNAs that are associated with different diseases as biomarkers is a problem of great medical significance. Existing computational methods for uncovering such microRNA-diseases associations (MDAs) are mostly developed unde...
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