GRMDA: Graph Regression for MiRNA-Disease Association Prediction
نویسندگان
چکیده
منابع مشابه
GRMDA: Graph Regression for MiRNA-Disease Association Prediction
Nowadays, as more and more associations between microRNAs (miRNAs) and diseases have been discovered, miRNA has gradually become a hot topic in the biological field. Because of the high consumption of time and money on carrying out biological experiments, computational method which can help scientists choose the most likely associations between miRNAs and diseases for further experimental studi...
متن کاملHGIMDA: Heterogeneous graph inference for miRNA-disease association prediction
Recently, microRNAs (miRNAs) have drawn more and more attentions because accumulating experimental studies have indicated miRNA could play critical roles in multiple biological processes as well as the development and progression of human complex diseases. Using the huge number of known heterogeneous biological datasets to predict potential associations between miRNAs and diseases is an importa...
متن کاملMCMDA: Matrix completion for MiRNA-disease association prediction
Nowadays, researchers have realized that microRNAs (miRNAs) are playing a significant role in many important biological processes and they are closely connected with various complex human diseases. However, since there are too many possible miRNA-disease associations to analyze, it remains difficult to predict the potential miRNAs related to human diseases without a systematic and effective met...
متن کاملWBSMDA: Within and Between Score for MiRNA-Disease Association prediction.
Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated with the development and progression of various complex human diseases. However, the roles of miRNAs in multiple biological processes or various diseases and their underlying molecular mechanisms still have not been fully understood yet. Predicting potential miRNA-disease associations by integrating various ...
متن کاملPRMDA: personalized recommendation-based MiRNA-disease association prediction
Recently, researchers have been increasingly focusing on microRNAs (miRNAs) with accumulating evidence indicating that miRNAs serve as a vital role in various biological processes and dysfunctions of miRNAs are closely related with human complex diseases. Predicting potential associations between miRNAs and diseases is attached considerable significance in the domains of biology, medicine, and ...
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ژورنال
عنوان ژورنال: Frontiers in Physiology
سال: 2018
ISSN: 1664-042X
DOI: 10.3389/fphys.2018.00092