Evaluation of different computational methods on 5-methylcytosine sites identification
Methylcytosine (m5C) plays an extremely important role in the basic biochemical process.
With the great increase of identified m5C sites in a wide variety of organisms, their …
With the great increase of identified m5C sites in a wide variety of organisms, their …
Computational methods for identifying similar diseases
L Cheng, H Zhao, P Wang, W Zhou, M Luo, T Li… - … Therapy-Nucleic Acids, 2019 - cell.com
Although our knowledge of human diseases has increased dramatically, the molecular
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …
Distance-based support vector machine to predict DNA N6-methyladenine modification
Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …
system to isolate invasion from adventive DNA. The shortcomings of the high time …
RNADisease v4. 0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction
J Chen, J Lin, Y Hu, M Ye, L Yao, L Wu… - Nucleic Acids …, 2023 - academic.oup.com
Numerous studies have shown that RNA plays an important role in the occurrence and
development of diseases, and RNA-disease associations are not limited to noncoding RNAs …
development of diseases, and RNA-disease associations are not limited to noncoding RNAs …
A first computational frame for recognizing heparin-binding protein
W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …
neutrophils and an important biomarker of infectious diseases. The correct identification of …
MNDR v3. 0: mammal ncRNA–disease repository with increased coverage and annotation
L Ning, T Cui, B Zheng, N Wang, J Luo… - Nucleic Acids …, 2021 - academic.oup.com
Many studies have indicated that non-coding RNA (ncRNA) dysfunction is closely related to
numerous diseases. Recently, accumulated ncRNA–disease associations have made …
numerous diseases. Recently, accumulated ncRNA–disease associations have made …
Anticancer peptides prediction with deep representation learning features
Anticancer peptides constitute one of the most promising therapeutic agents for combating
common human cancers. Using wet experiments to verify whether a peptide displays …
common human cancers. Using wet experiments to verify whether a peptide displays …
DeepLGP: a novel deep learning method for prioritizing lncRNA target genes
Motivation Although long non-coding RNAs (lncRNAs) have limited capacity for encoding
proteins, they have been verified as biomarkers in the occurrence and development of …
proteins, they have been verified as biomarkers in the occurrence and development of …
ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA
In recent years, many studies have illustrated the significant role that non-coding RNA
(ncRNA) plays in biological activities, in which lncRNA, miRNA and especially their …
(ncRNA) plays in biological activities, in which lncRNA, miRNA and especially their …
Graph convolutional network and convolutional neural network based method for predicting lncRNA-disease associations
Aberrant expressions of long non-coding RNAs (lncRNAs) are often associated with
diseases and identification of disease-related lncRNAs is helpful for elucidating complex …
diseases and identification of disease-related lncRNAs is helpful for elucidating complex …