greenelab/RNAseq_titration_results
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
HTMLBSD-3-Clause
Issues
- 0
Update with published paper links
#151 opened by envest - 5
Violin plots appear like they are not violins
#144 opened by envest - 1
Compare PLIER pathways across different sample sizes
#142 opened by envest - 0
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Add AUC, sensitivity, and specificity metrics
#132 opened by envest - 0
- 1
Implement running new normalization methods
#125 opened by envest - 0
Seurat for single cell integration
#128 opened by envest - 0
preprocessCore error
#127 opened by envest - 1
Add another normalization method: CrossNorm
#122 opened by envest - 0
Permute PLIER pathway-gene relationships
#121 opened by envest - 0
Major home page documentation update
#99 opened by envest - 0
Reconceptualize all publication plots
#77 opened by envest - 3
Diagnose and fix problems experienced with R 4.0.3
#41 opened by envest - 0
Identify pathways using PLIER
#73 opened by envest - 4
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Allow zeros in NAToZero
#89 opened by envest - 1
DEG metrics edge cases
#80 opened by envest - 0
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Expand small n DEG comparison
#74 opened by envest - 0
Add metrics to evaluate DEG overlap
#75 opened by envest - 2
Predict mutation status
#51 opened by envest - 2
- 1
- 0
Remove group column in some summary output tables
#66 opened by envest - 0
- 1
Load tidyverse instead of individual tidy packages
#59 opened by envest - 3
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Use here for referencing utilities with source()
#49 opened by envest - 0
Improve readability of mutations script
#46 opened by envest - 1
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- 0
PredictWrapper return Kappa argument
#29 opened by jaclyn-taroni - 0
Prepare GBM data for use in scripts
#40 opened by envest - 0
Move analysis to Docker image
#18 opened by jaclyn-taroni - 0
Combine prediction functions
#19 opened by jaclyn-taroni - 0
Restructure reconstruction analyses
#20 opened by jaclyn-taroni