iCircDA-MF: identification of circRNA-disease associations based on matrix factorizationBriefings in Bioinformatics - Tập 21 Số 4 - Trang 1356-1367 - 2020
Hang Wei, Bin Liu
AbstractCircular RNAs (circRNAs) are a group of novel discovered non-coding RNAs with closed-loop structure, which play critical roles in various biological processes. Identifying associations between circRNAs and diseases is critical for exploring the complex disease mechanism and facilitating disease-targeted therapy. Although several computational predictors hav...... hiện toàn bộ
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention networkBriefings in Bioinformatics - Tập 23 Số 1 - 2022
Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi‐Ping Phoebe Chen
AbstractIncreasing evidences have proved that circRNA plays a significant role in the development of many diseases. In addition, many researches have shown that circRNA can be considered as the potential biomarker for clinical diagnosis and treatment of disease. Some computational methods have been proposed to predict circRNA-disease associations. However, the perf...... hiện toàn bộ
A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxiaBriefings in Bioinformatics - Tập 19 Số 6 - Trang 1356-1369 - 2018
Imène Garali, Isaac M. Adanyeguh, Farid Ichou, Vincent Perlbarg, Alexandre Seyer, Benoît Colsch, Ivan Moszer, Vincent Guillemot, Alexandra Dürr, Fanny Mochel, Arthur Tenenhaus
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualizationBriefings in Bioinformatics - Tập 20 Số 4 - Trang 1160-1166 - 2019
Kazutaka Katoh, John Rozewicki, Kazunori Yamada
AbstractThis article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophisticati...... hiện toàn bộ
Deep-belief network for predicting potential miRNA-disease associationsBriefings in Bioinformatics - Tập 22 Số 3 - 2021
Xing Chen, Tianhao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu
AbstractMicroRNA (miRNA) plays an important role in the occurrence, development, diagnosis and treatment of diseases. More and more researchers begin to pay attention to the relationship between miRNA and disease. Compared with traditional biological experiments, computational method of integrating heterogeneous biological data to predict potential associations can...... hiện toàn bộ
NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completionBriefings in Bioinformatics - Tập 22 Số 1 - Trang 485-496 - 2021
Xing Chen, Lian-Gang Sun, Yan Zhao
AbstractEmerging evidence shows that microRNAs (miRNAs) play a critical role in diverse fundamental and important biological processes associated with human diseases. Inferring potential disease related miRNAs and employing them as the biomarkers or drug targets could contribute to the prevention, diagnosis and treatment of complex human diseases. In view of that t...... hiện toàn bộ
The miRNA: a small but powerful RNA for COVID-19Briefings in Bioinformatics - Tập 22 Số 2 - Trang 1137-1149 - 2021
Song Zhang, Kuerbannisha Amahong, Xiuna Sun, Xichen Lian, Jin Liu, Huaicheng Sun, Yan Lou, Feng Zhu, Yunqing Qiu
AbstractCoronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a severe and rapidly evolving epidemic. Now, although a few drugs and vaccines have been proved for its treatment and prevention, little systematic comments are made to explain its susceptibility to humans. A few scattered studies used bioinformatic...... hiện toàn bộ