sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution
Chuankai Cheng, J. Cameron Thrash
Abstract
Here, we introduce a Python-based repository, sparse-growth-curve, a software package designed for parsing cellular growth curves with low temporal resolution. The repository uses cell density and time data as the input, automatically separates different growth phases, calculates the exponential growth rates, and produces multiple graphs to aid in interpretation.
Topics & Concepts
Python (programming language)ParsingComputer scienceExponential growthSoftwarePipeline (software)Exponential functionR packageGrowth curve (statistics)Curve fittingAlgorithmComputational scienceArtificial intelligenceProgramming languageMathematicsMachine learningStatisticsMathematical analysisPlant Water Relations and Carbon DynamicsCell Image Analysis TechniquesComputational Physics and Python Applications