Through the developments of Omics technologies and dissemination of large-scale
datasets, such as those from The Cancer Genome Atlas, Alzheimer's Disease Neuroimaging …

Data analytics is routinely used to support biomedical research in all areas, with particular
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …

Motivation Integrative multi-feature fusion analysis on biomedical data has gained much
attention recently. In breast cancer, existing studies have demonstrated that combining …

Breast cancer is the most frequent cancer in women and the second most frequent overall
after lung cancer. Although the 5-year survival rate of breast cancer is relatively high …

Background Integrating the rich information from multi-omics data has been a popular
approach to survival prediction and bio-marker identification for several cancer studies. To …

Backgrounds IMPDH1, a rate-limiting enzyme in de novos synthesis of guanine nucleotides,
plays an essential role in the growth and progression of certain tumors. However, there is …

Combining omics data from different layers using integrative methods provides a better
understanding of the biology of a complex disease such as cancer. The discovery of …

Abstract The oxysterol sulfate, 25-hydroxycholesterol 3-sulfate (25HC3S), has been shown
to play an important role in lipid metabolism, inflammatory response, and cell survival …

Motivation Use of multi-omics data carrying comprehensive signals about the disease is
strongly desirable for understanding and predicting disease progression, cancer particularly …

Background In the era of precision oncology and publicly available datasets, the amount of
information available for each patient case has dramatically increased. From clinical …