Significant innovations in next-generation sequencing techniques and bioinformatics tools
have impacted our appreciation and understanding of RNA. Practical RNA sequencing …

INTRODUCTION Many complex human phenotypes, including diseases, exhibit sex-
differentiated characteristics. These sex differences have been variously attributed to …

Cellular deconvolution algorithms virtually reconstruct tissue composition by analyzing the
gene expression of complex tissues. We present the decision tree machine learning …

Deciphering cell-type heterogeneity is crucial for systematically understanding tissue
homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient …

Cutaneous T-cell lymphomas (CTCLs) are rare malignancies involving primarily the skin.
Responses to treatment are usually short-lived in advanced CTCL. The determinants of long …

Motivation Tissue-level omics data such as transcriptomics and epigenomics are an average
across diverse cell types. To extract cell-type-specific (CTS) signals, dozens of cellular …

Human milk harbors complex carbohydrates, including human milk oligosaccharides
(HMOs), the third most abundant component after lactose and lipids. HMOs have been …

Background Sepsis is a highly heterogeneous syndrome, which has hindered the
development of effective therapies. This has prompted investigators to develop a precision …

The placenta is a heterogeneous organ whose development involves complex interactions
of trophoblasts with decidual, vascular, and immune cells at the fetal–maternal interface. It …

Estimating cell type composition of blood and tissue samples is a biological challenge
relevant in both laboratory studies and clinical care. In recent years, a number of …