LDCMFC: Predicting Long Non-coding RNA and Disease Association Using Collaborative Matrix Factorization based on Correntropy.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3215194
Abstract: With the development of bioinformatics, the important role played by lncRNAs in various intractable diseases has aroused the interest of many experts. In recent studies, researchers have found that several human diseases are related to… read more here.
Keywords: matrix; based correntropy; matrix factorization; factorization based ... See more keywords
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations
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DOI: 10.1186/s12859-019-3260-0
Abstract: Predicting miRNA-disease associations (MDAs) is time-consuming and expensive. It is imminent to improve the accuracy of prediction results. So it is crucial to develop a novel computing technology to predict new MDAs. Although some existing… read more here.
Keywords: collaborative matrix; disease associations; matrix factorization; robust collaborative ... See more keywords
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations
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DOI: 10.1186/s12859-020-03799-6
Abstract: Background MicroRNAs (miRNAs) are non-coding RNAs with regulatory functions. Many studies have shown that miRNAs are closely associated with human diseases. Among the methods to explore the relationship between the miRNA and the disease, traditional… read more here.
Keywords: collaborative matrix; disease; matrix completion; matrix factorization ... See more keywords
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations
Sign Up to like & getrecommendations! Published in 2021 at "BMC Bioinformatics"
DOI: 10.1186/s12859-021-04486-w
Abstract: Background With the rapid development of various advanced biotechnologies, researchers in related fields have realized that microRNAs (miRNAs) play critical roles in many serious human diseases. However, experimental identification of new miRNA–disease associations (MDAs) is… read more here.
Keywords: collaborative matrix; graph based; method; matrix factorization ... See more keywords