Through a comprehensive review and in silico analysis of reported data on STAT‐linked
diseases, we analysed the communication pathways and interactome of the seven STATs in …

We review statistical methods for high-dimensional data analysis and pay particular
attention to recent developments for assessing uncertainties in terms of controlling false …

The clinical use of molecular targeted therapy is rapidly evolving but has primarily focused
on genomic alterations. Transcriptomic analysis offers an opportunity to dissect the …

Severe immune-related adverse events (irAEs) occur in up to 60% of patients with
melanoma treated with immune checkpoint inhibitors (ICIs). However, it is unknown whether …

Genes showing higher expression in either tumor or metastatic tissues can help in better
understanding tumor formation and can serve as biomarkers of progression or as potential …

Current inflammatory bowel disease (IBD) therapies are ineffective in a high proportion of
patients. Combining bulk and single-cell transcriptomics, quantitative histopathology and in …

Computational methods that model how gene expression of a cell is influenced by
interacting cells are lacking. We present NicheNet (https://github. com/saeyslab/nichenetr), a …

Distinct from the traditional diagnostic/prognostic biomarker (adopted as the indicator of
disease state/process), the therapeutic biomarker (ThMAR) has emerged to be very crucial …

Aryl hydrocarbon receptor (AHR) activation by tryptophan (Trp) catabolites enhances tumor
malignancy and suppresses anti-tumor immunity. The context specificity of AHR target …

Tumor microenvironment (TME) cells constitute a vital element of tumor tissue. Increasing
evidence has elucidated their clinicopathologic significance in predicting outcomes and …