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Code repository for the publication. Contains Monolix and Julia files used for parameter estimation and figure generation, respectively.

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Code repository for the publication:

Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection

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Numerical packages and languages used: Julia 1.7.3; Monolix 2021R1



This repository contains three folders named figure_codes, figure_data_files, and monolix_files which can be used to generate the figures in the manuscript. The julia_packages.txt file lists all the packages used in Julia 1.7.3 to perform the calculations. A description of the files in the individual folders is given below:

1. monolix_files

These files fit the best-fit model of our study to the longitudinal data and infer the parameter values. The file masterfile_model_1.mlxtran is the Monolix file that should be run to obtain these estimates. While modelFile_model_1.txt codes the model, the master_data_RNA_DNA_p27_kE0.csv is the raw longitudinal data file; both files are formatted as per the requirement of Monolix. Finally, the nohup.txt is the output obtained by running the .mlxtran file.

2. figure_data_files

This folder contains all the .xlsx and .csv files required to plot the figures. The names of the files are self-explanatory: files with the suffix parameters_ have the parameter values estimated for different models employed in the study; the master_data_ suffix refers to files with the raw longitudinal data--both in vivo and ex vivo models; and the modified_DNA_post_peak.xlsx is the SIV DNA data without the measurements before the peak in the data.

3. figure_codes

This folder contains the Julia files that can be run to reproduce the figures; names are self-explanatory.

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Code repository for the publication. Contains Monolix and Julia files used for parameter estimation and figure generation, respectively.

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