Tumor Growth Data: Finding Datasets for Gompertz Model Fitting

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SUMMARY

The discussion focuses on the challenge of locating a suitable tumor growth dataset for fitting the Gompertz growth model using Mathematica. The user, a college student, has explored various academic resources, including university libraries and Google Scholar, but has encountered difficulties in finding datasets with individual data points. The ideal dataset should include initial tumor volume and subsequent volumes over time, although confirmation of the Gompertz function's applicability is not mandatory.

PREREQUISITES
  • Understanding of the Gompertz growth model
  • Familiarity with Mathematica for data analysis and graphing
  • Knowledge of tumor growth metrics and data collection methods
  • Experience with academic research methodologies and literature review
NEXT STEPS
  • Search for publicly available tumor growth datasets on platforms like the Cancer Genome Atlas (TCGA)
  • Investigate the use of the Gompertz model in existing research papers for potential data sources
  • Explore data repositories such as Kaggle or the UCI Machine Learning Repository for relevant datasets
  • Learn about data extraction techniques from academic graphs using tools like WebPlotDigitizer
USEFUL FOR

This discussion is beneficial for students in systems biology, researchers in oncology, and data analysts looking to apply the Gompertz growth model to tumor growth data.

Verdictt
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Good day,
I am a first year in college and I am taking a course in systems biology. For this assignment we are to use the Gompertz growth formula and fit it to a data set of tumor growth, fitting the parameters and graphing everything with mathematica. As of now, I am stuck at the part where I need to find the tumor growth dataset. I have been using my university library and google scholar and I have looked through at least 20 papers, but the numbers are never cited directly, only shown in graphs and/or referenced in papers from ~1960, which I cannot find online.
My question is therefore if someone could help me find a dataset, with individual datapoints, describing the growth of a tumor (type is irrelevant) over time. It would be optimal if it is known that the Gompertz function works for it, but this is not a requirement. The only thing the dataset needs to contain is the volume at the start of the measurement, and the volumes at specific timepoints. Anything else is extra.

Thanks in advance!
 
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You might want to try one of the math help threads; I think it would be more helpful than this one.
 

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