Radiomics allows automated quantification of the radiographic phenotype of a tumor across diverse patient cohorts and is connected to the underlying molecular pathway activities, which together determine the clinical outcome.
Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.
A network of the gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs and supports the generation of mechanistic hypotheses of microbiome metabolic phenotypes that shape human biology.
ImmunoCluster permits nonspecialist users to interrogate liquid and imaging mass, and flow cytometry datasets, resolving novel layers of cellular heterogeneity and insight, as well as producing publishable outputs and figures.
Novel evidence on the molecular determinants of the dual function, anion permeation and substrate transport, of excitatory amino acid transporters opens avenues toward illuminating how these transporters regulate synaptic function and contribute to neurological conditions.
Three-dimensional fluorescence imaging of microbial eukaryotes in environmental samples allows accurate automated taxonomic profiling and quantitative data about ultrastructures and interactions of organisms.