Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

Cervical cancer remains one of the leading causes of cancer-related deaths worldwide.
Reported here is an extensive molecular characterization of 228 primary cervical cancers …

Microbial community metabolomics, particularly in the human gut, are beginning to provide a
new route to identify functions and ecology disrupted in disease. However, these data can …

Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Adipocyte progenitor cells (APCs) provide the reservoir of regenerative cells to produce new
adipocytes, although their identity in humans remains elusive. Using FACS analysis, gene …

Analysis of RNA-sequence (RNA-seq) data is widely used in transcriptomic studies and it
has many applications. We review RNA-seq data analysis from RNA-seq reads to the results …

The linear regression model cannot be fitted to high-dimensional data, as the high-
dimensionality brings about empirical non-identifiability. Penalized regression overcomes …

Simple Summary Breast cancer diagnosis and treatment can be improved by understanding
the specific genetic makeup of a patient's tumour. Currently, this genetic information is …

Triple-negative breast cancer (TNBC) is a subtype with heterogeneous patient outcomes.
Approximately 40% of patients experience rapid relapse, while the remaining patients have …

Short tandem repeats (STRs) are genomic regions consisting of repeated sequences of 1–6
bp in succession. Single-nucleotide polymorphism (SNP)-based genome-wide association …