Medical and scientific advances are predicated on new knowledge that is robust and
reliable and that serves as a solid foundation on which further advances can be built. In …

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

Background Papillary renal-cell carcinoma, which accounts for 15 to 20% of renal-cell
carcinomas, is a heterogeneous disease that consists of various types of renal cancer …

Systematic studies of cancer genomes have provided unprecedented insights into the
molecular nature of cancer. Using this information to guide the development and application …

Tumor-derived cell lines have served as vital models to advance our understanding of
oncogene function and therapeutic responses. Although substantial effort has been made to …

The systematic translation of cancer genomic data into knowledge of tumour biology and
therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust …

Methodological breakthroughs over the past four decades have repeatedly revolutionized
transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to …

Big data can easily be contaminated by outliers or contain variables with heavy-tailed
distributions, which makes many conventional methods inadequate. To address this …

Gene expression analysis is a widely used and powerful method for investigating the
transcriptional behavior of biological systems, for classifying cell states in disease, and for …

Compared with normal cells, tumor cells have undergone an array of genetic and epigenetic
alterations. Often, these changes underlie cancer development, progression, and drug …