Histone modifications are key epigenetic regulatory features that have important roles in
many cellular events. Lysine methylations mark various sites on the tail and globular …

Medulloblastoma (MB) comprises a biologically heterogeneous group of embryonal tumours
of the cerebellum. Four subgroups of MB have been described (WNT, sonic hedgehog …

Abstract Machine learning is a branch of computer science that has the potential to transform
epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new …

Gene expression data have become increasingly important in machine learning and
computational biology over the past few years. In the field of gene expression analysis …

Study of the origin and development of cerebellar tumours has been hampered by the
complexity and heterogeneity of cerebellar cells that change over the course of …

Medulloblastoma is the most common pediatric malignant brain tumor. Advances in
molecular profiling have uncovered significant heterogeneity among medulloblastomas and …

For data mining tasks on high-dimensional data, feature selection is a necessary pre-
processing stage that plays an important role in removing redundant or irrelevant features …

Recently, feature selection and dimensionality reduction have become fundamental tools for
many data mining tasks, especially for processing high-dimensional data such as gene …

Pediatric central nervous system (CNS) tumors are the second most common childhood
malignancy and the most common solid tumor in children. The incidence rate of childhood …

Medulloblastoma, a malignant brain tumour primarily diagnosed during childhood, has
recently been the focus of intensive molecular profiling efforts, profoundly advancing our …