This is dclab, a Python library for the post-measurement analysis of real-time deformability cytometry (RT-DC) datasets. This is the documentation of dclab version 0.58.6.post3+gbe672ce.
Documentation
- Getting started
- Command-line interface
- Examples
- Dataset overview plot
- Young’s modulus computation from data on DCOR
- Viscosity models for Young’s modulus estimation
- lme4: Linear mixed-effects models
- lme4: Generalized linear mixed-effects models with differential deformation
- ML: Using RT-DC data with tensorflow
- ML: Creating built-in models for dclab with tensorflow
- Plotting isoelastics
- Plotting custom isoelastics
- Working with plugin features
- Advanced Usage
- Code reference
- Module-level methods
- Global definitions
- RT-DC dataset manipulation
- Low-level functionalities
- HDF5 manipulation
- Writing RT-DC files
- Command-line interface methods
- R and lme4
ROutdatedError
RPY2ImportError
RPY2OutdatedError
RPY2UnavailableError
RUnavailableError
MockRPackage
import_r_submodules()
RPY2_MIN_VERSION
R_MIN_VERSION
RNotFoundError
AutoRConsole
check_r()
get_r_path()
get_r_version()
has_lme4()
has_r()
import_lme4()
install_lme4()
set_r_path()
Lme4InstallWarning
Rlme4
bootstrapped_median_distributions()
- Machine learning