PNNL-CompBio/coderdata
Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.
Jupyter NotebookBSD-3-Clause
Pinned issues
Issues
- 2
contributing page has no details
#189 opened - 0
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mpnst copy number data has additional column
#184 opened - 0
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- 1
- 2
BeatAML Drugs not generating correctly.
#177 opened - 2
Inconsistency in copy_call values
#174 opened - 1
- 2
broad_sanger_omics samples generation error
#171 opened - 1
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- 2
- 1
No 00-buildGeneFile.R file in broad_sanger
#167 opened - 3
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tutorial missing download step
#162 opened - 5
- 5
broad_sanger samples file has quotes around all values - (breaking Polars during testing)
#160 opened - 8
Convert Python Package from Pandas to Polars
#159 opened - 1
Update README to have contributing guide
#156 opened - 0
- 3
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- 4
Update doc page with current datasets
#148 opened - 0
Typos on Drug Response Tutorial page
#147 opened - 3
consider adding PDX data
#146 opened - 0
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add in kids first brain tumor cell line data
#144 opened - 0
- 5
populate drugs structure property table
#142 opened - 0
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Move drug curve calculation to multithreaded
#140 opened - 2
add in new NCI60 and alter time treatment
#139 opened - 0
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Drop NA values in Broad_Sanger Mutation Data
#137 opened - 0
Drop NA values in Broad_Sanger Copy Number Data
#136 opened - 0
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Drop NA values in CPTAC Transcriptomic Data
#133 opened - 0
Drop NA values in CPTAC Proteomics Data
#132 opened - 0
Drop NA values in CPTAC Copy Number Data
#131 opened - 0
Drop NA values in BeatAML Proteomics Data
#130 opened - 0
Drop NA values in HCMI Copy Number Data
#129 opened - 0
Drop NA values in HCMI Transcriptomics Data
#128 opened - 0
All HCMI Data have index columns
#127 opened