3 papers
q-bio.MN2022
Towards future directions in data-integrative supervised prediction of human aging-related genes
Qi Li, Khalique Newaz, Tijana Milenković
Identification of human genes involved in the aging process is critical due to the incidence of many diseases with age. A state-of-the-art approach for this purpose infers a weight…
q-bio.MN2020
Improved supervised prediction of aging-related genes via weighted dynamic network analysis
Qi Li, Khalique Newaz, Tijana Milenković
This study focuses on the task of supervised prediction of aging-related genes from -omics data. Unlike gene expression methods for this task that capture aging-specific informatio…
q-bio.MN2019
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork
Qi Li, Tijana Milenković
Background. Human aging is linked to many prevalent diseases. The aging process is highly influenced by genetic factors. Hence, it is important to identify human aging-related gene…