The year 2014 marked the 20th anniversary of the coining of the term proteomics. The
purpose of this scientific statement is to summarize advances over this period that have …

Background RNA-seq is widely used for transcriptomic profiling, but the bioinformatics
analysis of resultant data can be time-consuming and challenging, especially for biologists …

Proteomics is inherently a systems science that studies not only measured protein and their
expressions in a cell, but also the interplay of proteins, protein complexes, signaling …

Develo** predictive biomarkers that can detect the tip** point before metastasis of
hepatocellular carcinoma (HCC), is critical to prevent further irreversible deterioration. To …

Recently, identifying robust biomarkers or signatures from gene expression profiling data
has attracted much attention in computational biomedicine. The successful discovery of …

Identifying a critical transition and its leading biomolecular network during the initiation and
progression of a complex disease is a challenging task, but holds the key to early diagnosis …

Motivation From a systematic perspective, it is crucial to infer and analyze gene regulatory
network (GRN) from high-throughput single-cell RNA sequencing data. However, most …

Single-walled carbon nanotubes (SWCNTs) are a group of widely used carbon-based
nanomaterials (CNMs) with various applications, which have caused increasing public …

Uncovering modular structure in networks is fundamental for systems in biology, physics,
and engineering. Community detection identifies candidate modules as hypotheses, which …

Identifying early warning signals of critical transitions during disease progression is a key to
achieving early diagnosis of complex diseases. By exploiting rich information of high …