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Code for Identification of newborns at risk for autism using electronic medical records and machine learning; EURPSY-D-19-00458R1

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2 Commits
Autism_figures.R
Autism_figures.R
 
 
Merge_drugbank_atc_codes.R
Merge_drugbank_atc_codes.R
 
 
README.md
README.md
 
 
bootstrap_fc.R
bootstrap_fc.R
 
 
combine_mat_pat_level1-4_demographics_asd.R
combine_mat_pat_level1-4_demographics_asd.R
 
 
compare _asd_non_children.R
compare _asd_non_children.R
 
 
fingerprint_network.R
fingerprint_network.R
 
 
format_data.R
format_data.R
 
 
format_data_for_ml_unique_moms.R
format_data_for_ml_unique_moms.R
 
 
format_paternal_drug_data.R
format_paternal_drug_data.R
 
 
level1boxplots.R
level1boxplots.R
 
 
logistic_regression.R
logistic_regression.R
 
 
protein_target_analysis.R
protein_target_analysis.R
 
 
randomforest.R
randomforest.R
 
 
read.matrix.R
read.matrix.R
 
 
sample_cases.R
sample_cases.R
 
 
sample_cases_time_series.R
sample_cases_time_series.R
 
 
train.asd.data.R
train.asd.data.R
 
 
uniqify_atc_codes.R
uniqify_atc_codes.R
 
 

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ASD-ML-EURPSY

Code for Identification of newborns at risk for autism using electronic medical records and machine learning; EURPSY-D-19-00458R1

TODO:

  1. Annonate IO for each script
  2. Description of purpose of each R script

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Code for Identification of newborns at risk for autism using electronic medical records and machine learning; EURPSY-D-19-00458R1

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