scHiCluster is a comprehensive python package for single-cell chromosome contact data analysis. It includes the identification of cell types (clusters), loop calling in cell types, and domain and compartment calling in single cells.
DCell is a neural network model of budding yeast, a basic eukaryotic cell. The model structure corresponds exactly to a hierarchy of 2,526 cellular subsystems.
ImmuCellAI is a tool to estimate the abundance of 24 immune cells from gene expression dataset including RNA-Seq and microarray data, in which the 24 immune cells are comprised of 18 T-cell subtypes and 6 other immune cells: B cell, NK cell, Monocyte cell, Macrophage cell, Neutrophil cell and DC cell.
ImmuCellAI-mouse is the mouse version of ImmuCellAI. ImmuCellAI-mouse is a tool to estimate the abundance of 36 immune cells based on gene expression profile from RNA-Seq or microarray data. To ensure the prediction accuracy, we adopted a hierarchical strategy to classify the 36 cell types into three layers, which were presented as inclusion relation among different circles in the right figure.
CELLector is a computational tool for selecting the most clinically relevant cancer cell lines to be included in a new in-vitro study (or to be considered in a retrospective study), in a patient-genomic guided fashion.
SIMBA is a method to embed cells along with their defining features such as gene expression, transcription factor binding sequences and chromatin accessibility peaks into the same latent space.
BioLegend Flow Cytometry Application provides you with important information about your Flow Cytometers and Fluorochromes. Now you can use BioLegend’s Spectra Analyzer quickly and conveniently in the palm of your hand. We included an Antibody Usage Calculator and Timer to help with your experiments (Timer does not work in the background and will pause upon exiting the application).
The CBO (Cell Behavior Ontology) is designed to describe multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, …) and computational models of those behaviors.The CBO is an OWL-2 ontology developed in Protégé 4
SPICE is a data mining software application that analyzes large FLOWJO data sets from polychromatic flow cytometry and organizes the normalized data graphically. SPICE enables users to discover potential correlations in their experimental data within complex data sets.