Empowering researchers and clinicians to gain insights from single cell experiments with interactive data visualization and easy to use but powerful machine learning methods to classify and model single cell data.
Jun 6, 2019
Identify cell populations in healthy human bone marrow and take a look at the putative cell differentiation trajectories. Read more >
May 10, 2019
Combine clustering and time component to pinpoint the time of trophectoderm (TE) and inner cell mass (ICM) differentiation in human preimplantation embryotic cells Read more >
May 6, 2019
Determine karyotype (XY, XX, X0) of the samples from single cell data and observe the time of activation of Y chromosome in a preimplantation embryo. Read more >
Explore the Diversity of Cells Within Your Sample
Load data from any platform and filter outlier cells. Normalize expression values across samples and platforms. Identify and explore sub-populations with a sample and across multiple samples.
Identify signature genes for each subpopulation using multiple methods. Use gene ontology enrichment to explore the biological meaning and identify cell types.
Predict New Cell Types Based on Marker Genes
Build classifiers to identify the cell type of each subpopulation. Use classifier on new data samples to predict cell types and focus on interesting cell type populations.