transcriptomic_predictions

contains jupyter notebooks to accompany the manuscript: "A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions"
also contains mock_data files inside data/preprocessing_combinations directory
the aggregated datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
data/preprocessing_combinations		data/preprocessing_combinations
README.md		README.md
transcriptomic_predictions_01_useBash_toPrepareProjectFolderOnceHaveAggregatedDatasets.ipynb		transcriptomic_predictions_01_useBash_toPrepareProjectFolderOnceHaveAggregatedDatasets.ipynb
transcriptomic_predictions_02_useR_toFilterAndCleanAggregatedDatasets.ipynb		transcriptomic_predictions_02_useR_toFilterAndCleanAggregatedDatasets.ipynb
transcriptomic_predictions_03_useR_toApplyNormalization_QN.ipynb		transcriptomic_predictions_03_useR_toApplyNormalization_QN.ipynb
transcriptomic_predictions_04_useR_toApplyNormalization_QNtarget.ipynb		transcriptomic_predictions_04_useR_toApplyNormalization_QNtarget.ipynb
transcriptomic_predictions_05_useR_toApplyNormalization_FSQN.ipynb		transcriptomic_predictions_05_useR_toApplyNormalization_FSQN.ipynb
transcriptomic_predictions_06_useR_toRemoveBatchEffectOnInputDatasets.ipynb		transcriptomic_predictions_06_useR_toRemoveBatchEffectOnInputDatasets.ipynb
transcriptomic_predictions_07_usePython_toBuildClassifierAndEvaluatePerformance.ipynb		transcriptomic_predictions_07_usePython_toBuildClassifierAndEvaluatePerformance.ipynb

Provide feedback