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[Cluster Sources] Cluster Transcriptomic and Proteomic Sources #36

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JoshLoecker opened this issue Sep 1, 2022 · 0 comments
Open
2 of 6 tasks
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priority:normal state:in-progress This is being worked on subsystem:python Relates to Python files subsystem:R Relates to R files type:feature

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@JoshLoecker
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Clustering transcriptomic and proteomic sources together can give a better view of the quality of each type of source

This file will cluster transcriptomic and proteomic sources
It will perform the following functions

  • Read zFPKM (or TPMs/CPMs) for each replicate
    • Binarize them if the argument is given. See RNAseq.R using the kOverA function
  • Cluster all replicates for all studies across all contexts within one data source
  • Clusters all replicates for all batches/studies across all data sources within one cell type at a time
  • Clusters all batches/studies across all contexts/cell types within one data source at a time
  • Clusters all batches/studies across all data sources within one cell type at a time (edited)
@JoshLoecker JoshLoecker added priority:normal type:feature state:in-progress This is being worked on subsystem:python Relates to Python files subsystem:R Relates to R files labels Sep 1, 2022
@JoshLoecker JoshLoecker moved this to Open in MADRID Sep 19, 2022
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Labels
priority:normal state:in-progress This is being worked on subsystem:python Relates to Python files subsystem:R Relates to R files type:feature
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