SNPs, prediction, and STAR*D trial

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Subject: Social Sciences

1 to 3 of 3 Results

R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD Jul 24, 2020 Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository Dataverse, V1 R scripts for snp selection and ensemble learning in STAR*D trial.
Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial" Jul 24, 2020 Shumake, Jason, 2020, "Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository Dataverse, V1 Analysis code for the results presented in the manuscript.
Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial" Jul 24, 2020 Shumake, Jason, 2020, "Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository Dataverse, V1 Data munging code

R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D

Jul 24, 2020

Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository Dataverse, V1

R scripts for snp selection and ensemble learning in STAR*D trial.

Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Jul 24, 2020

Shumake, Jason, 2020, "Primary analysis code and report for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository Dataverse, V1

Analysis code for the results presented in the manuscript.

Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Jul 24, 2020

Shumake, Jason, 2020, "Data munging code for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository Dataverse, V1

Data munging code

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