A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease...
Read More »DeepCNPP - deep learning architecture to distinguish the promoter of human long non-coding RNA genes and protein-coding genes
Promoter region of protein-coding genes are gradually being well understood, yet no comparable studies exist for the promoter of long non-coding RNA..
Read More »IDHI-MIRW - prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources
Long non-coding RNAs play an important role in human complex diseases. Identification of lncRNA-disease associations will gain insight into disease-related lncRNAs and benefit disease diagnoses and...
Read More »LncFinder - an integrated platform for long non-coding RNA identification
Discovering new long non-coding RNAs (lncRNAs) has been a fundamental step in lncRNA-related research. Nowadays, many machine learning-based tools have been developed for lncRNA identification. However, many methods predict lncRNAs using sequence-derived features alone, which tend to display unstable performances on different species. Moreover, the majority of tools cannot be re-trained or tailored by users and neither can the features ...
Read More »Pattern recognition analysis on long noncoding RNAs - a tool for prediction in plants
Long noncoding RNAs (lncRNAs) correspond to a eukaryotic noncoding RNA class that gained great attention in the past years as a higher layer of...
Read More »HLPI-Ensemble - Prediction of human lncRNA-protein interactions based on ensemble strategy
LncRNA plays an important role in many biological and disease progression by binding to related proteins. However, the experimental methods for studying lncRNA-protein interactions are time-consuming and expensive. Although there are a few models designed to predict the interactions of ncRNA-protein, they all have some common drawbacks that limit their predictive performance. Researchers from Liaoning University present a model called HLPI-Ensemble designed ...
Read More »TERIUS - accurate prediction of lncRNA via high-throughput sequencing data representing RNA-binding protein association
LncRNAs are long regulatory non-coding RNAs, some of which are arguably predicted to have coding potential. Despite coding potential classifiers that utilize ribosome profiling data successfully detected...
Read More »TPGLDA - Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph
Accumulating evidences have indicated that lncRNAs play an important role in various human complex diseases. However, known disease-related lncRNAs are still comparatively small in number, and experimental identification is time-consuming and labor-intensive. Therefore, developing a useful computational method for inferring potential associations between lncRNAs and diseases has become a hot topic, which can significantly help people to explore complex human ...
Read More »UClncR – Ultrafast and comprehensive long non-coding RNA detection from RNA-seq
Long non-coding RNA (lncRNA) is a large class of gene transcripts with regulatory functions discovered in recent years. Many more are expected to be revealed with accumulation of RNA-seq data from diverse types of normal and diseased tissues...
Read More »A deep learning method for lincRNA detection using auto-encoder algorithm
RNA sequencing technique (RNA-seq) enables scientists to develop novel data-driven methods for discovering more unidentified lincRNAs. Meantime, knowledge-based technologies are experiencing a potential revolution ignited by the new deep learning methods. By scanning the newly found data set from RNA-seq, scientists have found that: (1) the expression of lincRNAs appears to be regulated, that is, the relevance exists along the ...
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