Breast cancer is a global cause for concern owing to its high incidence around the world.
The alarming increase in breast cancer cases emphasizes the management of disease at …

Cancer is a leading cause of death worldwide. Identifying the best treatment using
computational models to personalize drug response prediction holds great promise to …

Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy
data, typically requiring human oversight and curation, which limit both accuracy and …

Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs),
play an important role in the initiation and progression of cancer. Single-cell DNA …

Simple Summary Most malignant tumours are highly heterogeneous at molecular and
phenotypic levels. Tumour variability poses challenges for the management of patients, as it …

Over the past decade, cancer diagnosis has expanded to include liquid biopsies in addition
to tissue biopsies. Liquid biopsies can result in earlier and more accurate diagnosis and …

In the era of precision medicine, multi-omics approaches enable the integration of data from
diverse omics platforms, providing multi-faceted insight into the interrelation of these omics …

Annotating cell types is a critical step in single-cell RNA sequencing (scRNA-seq) data
analysis. Some supervised or semi-supervised classification methods have recently …

Introduction The purpose of the study is to genomically characterize the biology and related
therapeutic opportunities of prognostically important predominant histologic subtypes in lung …

Human placenta is a complex and heterogeneous organ interfacing between the mother
and the fetus that supports fetal development. Alterations to placental structural components …