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Gene–Tissue relationships from the TISSUES database

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TISSUES is a database of gene–tissue relationships that combines many lines of evidence. Learn more about TISSUES from its website or publication.

This repository creates a single tsv-formatted table (merged.tsv.gz) from the TISSUES datasets. Tissues are converted from BTO to Uberon identifiers. Genes are converted from STRING/Ensembl identifiers to Entrez Gene. We compute two integrated experimental scores not available from the Jensen lab downloads: score_experiment and score_experiment_unbiased, which excludes HPA-IHC data.

merged.tsv.gz is formatted like:

uberon_id uberon_name entrez_gene_id gene_symbol score_text score_knowledge score_experiment score_experiment_unbiased score_integrated
UBERON:0000002 uterine cervix 2 A2M 0.8 0 1
UBERON:0000002 uterine cervix 9 NAT1 0 0.2
UBERON:0000002 uterine cervix 14 AAMP 0 0 0.5
UBERON:0000002 uterine cervix 16 AARS 1 1 1.7
UBERON:0000002 uterine cervix 19 ABCA1 0.6 0 0.7
UBERON:0000002 uterine cervix 20 ABCA2 0 0.5
UBERON:0000002 uterine cervix 21 ABCA3 0 0.5
UBERON:0000002 uterine cervix 22 ABCB7 0 0.2
UBERON:0000002 uterine cervix 25 ABL1 0.5 0 0.8

Scores range from 0 to 5 with 5 being the highest level of evidence. Blank values indicate a tissue–gene pair that was not assayed in the corresponding channel.

For more information, see the corresponding Thinklab discussion.

All computation is performed by the tissues.ipynb notebook. Code was written for Python 3.4.

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