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601 to 610 of 695 Results

2.4-jds-data-partitions.html Jul 24, 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" HTML - 681.0 KB - MD5: 30eecdec14bf0a4add93bb87e4b0e5e8
2.5-jds-gene-data.html Jul 24, 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" HTML - 639.1 KB - MD5: 9d72a698c8b50eb16b032e33e79a02bf
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 - SNPs, prediction, and STARD trial 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, V1 Analysis code for the results presented in the manuscript.
1.1-jds-model-performance-gene-predictors.html Jul 24, 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" HTML - 1.9 MB - MD5: 68f044134fe12baf70457502c800979d
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 - SNPs, prediction, and STARD trial 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, V1 R scripts for snp selection and ensemble learning in STARD trial.
gene_selection.R Jul 24, 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 R Syntax - 3.7 KB - MD5: 4e0e18b0fbf272012e0ca2c1563c0f88
helpers.R Jul 24, 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 R Syntax - 4.8 KB - MD5: 15837599eb2a0e63e828f414f9572eea
train_ensembles.R Jul 24, 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 R Syntax - 8.2 KB - MD5: 62d5266c76a0a21ee42d19b97f7a5513
SNPs, prediction, and STARD trial(University of Texas at Austin) Jul 24, 2020 Analysis code and supplemental materials 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"
Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository, V2 These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.

2.4-jds-data-partitions.html

Jul 24, 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"

HTML - 681.0 KB -

2.5-jds-gene-data.html

HTML - 639.1 KB -

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 - SNPs, prediction, and STAR*D trial

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, V1

Analysis code for the results presented in the manuscript.

1.1-jds-model-performance-gene-predictors.html

Jul 24, 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"

HTML - 1.9 MB -

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 - SNPs, prediction, and STAR*D trial

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, V1

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

gene_selection.R

Jul 24, 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

R Syntax - 3.7 KB -

helpers.R

R Syntax - 4.8 KB -

train_ensembles.R

R Syntax - 8.2 KB -

SNPs, prediction, and STAR*D trial(University of Texas at Austin)

Jul 24, 2020

Analysis code and supplemental materials 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"

Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach

Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach

Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository, V2

These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.

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