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Prediction of VLDL cholesterol value with machine learning techniques
(Springer, 2021)
Cholesterol is an oil-like substance that is found in the membranes of animal cells and also
carried in blood plasma, which has some vital functions in the human body, especially in the endocrine
and digestive systems. ...
A hybrid movie recommender system and rating prediction model
(International Journal of Information Technology and Applied Sciences, 2021-07-01)
In the current era, a rapid increase in data volume produces redundant information on the internet. This predicts
the appropriate items for users a great challenge in information systems. As a result, recommender systems ...
Global alignment of PPI networks
(Springer, 2021)
Given multiple PPI networks from different species, the global PPI network alignment problem is that of providing a global mapping between the nodes of the networks or subnetworks within them. Functional orthology detection, ...
Ranking cancer drivers via betweenness-based outlier detection and random walks
(BMC Bioinformatics, 2021)
Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results
We propose ...
Sparse data embedding and prediction by tropical matrix factorization
(BMC Bioinformatics, 2021)
Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose ...
A network-centric framework for the evaluation of mutual exclusivity tests on cancer drivers
(Frontiers in Genetics, 2021)
One of the key concepts employed in cancer driver gene identification is that of mutual exclusivity (ME); a driver mutation is less likely to occur in case of an earlier mutation that has common functionality in the same ...