Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
نویسندگان
چکیده
منابع مشابه
Uncover miRNA-Disease Association by Exploiting Global Network Similarity
Identification of miRNA-disease association is a fundamental challenge in human health clinic. However, the known miRNA-disease associations are rare and experimental verification methods are expensive and time-consuming. Therefore, there is a strong incentive to develop computational methods. In this paper, we calculate the similarity score for each miRNAs pair by integrating miRNA functional ...
متن کاملPredicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA
Accumulating experimental studies have indicated that lncRNAs play important roles in various critical biological process and their alterations and dysregulations have been associated with many important complex diseases. Developing effective computational models to predict potential disease-lncRNA association could benefit not only the understanding of disease mechanism at lncRNA level, but al...
متن کاملMiRNA–miRNA synergistic network: construction via co-regulating functional modules and disease miRNA topological features
Synergistic regulations among multiple microRNAs (miRNAs) are important to understand the mechanisms of complex post-transcriptional regulations in humans. Complex diseases are affected by several miRNAs rather than a single miRNA. So, it is a challenge to identify miRNA synergism and thereby further determine miRNA functions at a system-wide level and investigate disease miRNA features in the ...
متن کاملTOPOLOGICAL SIMILARITY OF L-RELATIONS
$L$-fuzzy rough sets are extensions of the classical rough sets by relaxing theequivalence relations to $L$-relations. The topological structures induced by$L$-fuzzy rough sets have opened up the way for applications of topological factsand methods in granular computing. In this paper, we firstly prove thateach arbitrary $L$-relation can generate an Alexandrov $L$-topology.Based on this fact, w...
متن کاملIdentifying functional miRNA-mRNA modules based on hypergraph-based learning
1 Background and problem Analyzing functional relationships between microRNAs (miRNAs) and mRNAs is an important issue in biological process because it can give new insights into the pathogenesis mechanism of complex diseases including various cancers. Especially, miRNAs emerge recently as one of crucial molecules in post-transcriptional regulation and play critical roles in diverse processes s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quantitative Biology
سال: 2019
ISSN: 2095-4689,2095-4697
DOI: 10.1007/s40484-019-0176-7