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dvc.yaml
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dvc.yaml
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stages:
download:
cmd: python gtex.py download
outs:
- data/gtex/input/GTEx_8_tissues_snRNAseq_atlas_071421.public_obs.h5ad
- data/gtex/input/GTEx_8_tissues_snRNAseq_immune_atlas_071421.public_obs.h5ad
- data/gtex/interim/GTEx_Analysis_2017-06-05_v8_RNASeQCv1.1.9_gene_tpm_stable_expressions.tsv
- data/gtex/input/GTEx_Analysis_2017-06-05_v8_RNASeQCv1.1.9_gene_tpm_stable.gct
- data/gtex/input/GTEx_Analysis_v8_Annotations_SampleAttributesDS.txt
- data/gtex/input/GTEx_Analysis_v8_Annotations_SubjectPhenotypesDS.txt
prepare_cattle:
cmd: python gtex.py prepare-cattle-bulk
outs:
- data/cattle/input/Gene_read_counts_FarmGTEx_cattle_V0.tsv
prepare_bulk:
deps:
- data/gtex/input/GTEx_Analysis_v8_Annotations_SampleAttributesDS.txt
- data/gtex/input/GTEx_Analysis_v8_Annotations_SubjectPhenotypesDS.txt
cmd: python gtex.py prepare-bulk
outs:
- data/gtex/interim/samples_with_subjects.parquet
- data/gtex/interim/expressions_extended.parquet
train_gtex:
cmd: python gtex.py train
deps:
- data/gtex/interim/expressions_extended.parquet
metrics:
- data/gtex/output/all/gtex_metrics_best_huber.json
- data/gtex/output/all/gtex_metrics_best_mse.json
plots:
- data/gtex/output/all/gtex_metrics_plot.json:
y: "MAE"
x_label: steps
y_label: years
title: "aging clock trained on all samples"