In the last decade, the treatment of non-small cell lung cancer (NSCLC) has been
revolutionized by the introduction of immune checkpoint inhibitors (ICI) directed against …

The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …

Background Postoperative progression and chemotherapy resistance is the major cause of
treatment failure in patients with triple-negative breast cancer (TNBC). Currently, there is a …

In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to
facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA …

Tumor progression and the efficacy of immunotherapy are strongly influenced by the
composition and abundance of immune cells in the tumor microenvironment. Due to the …

Mapping cell types across a tissue is a central concern of spatial biology, but cell type
abundance is difficult to extract from spatial gene expression data. We introduce …

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 …

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

Complex biomedical data generated during clinical, omics and mechanism-based
experiments have increasingly been exploited through cloud-and visualization-based data …