Update README.md
Browse filesUpdating as a part of hugging science initiative - belive there is value in OpenTargets dataset being utilized fully
README.md
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license: apache-2.0
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---
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## Clinical
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---
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license: apache-2.0
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language:
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- en
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tags:
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- huggingscience
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- science
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pretty_name: clinical_trial_stopped_evidence
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size_categories:
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- 1M<n<10M
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## OpenTargets Clinical Evidence Dataset
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This OpenTargets clinical evidence dataset represents a comprehensive collection of clinical trial data linking genetic targets to diseases, containing 32 structured columns that capture the complete lifecycle of clinical studies.
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The dataset is annotated with clinical trials' predicted stop reason and genetic evidence when available and was referenced in the _[Why Clinical Trials Stop: The Role of Genetics](https://doi.org/10.1101/2023.02.07.23285407)_.
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The study analyzed 28,842 stopped clinical trials and demonstrated that genetic evidence significantly influences trial efficacy,
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## Tutorial
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To access the dataset, you can use HF datasets:
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```
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from datasets import load_dataset
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ds = load_dataset("opentargets/clinical_evidence")
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# see first record
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next(ds.iter(1))
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```
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## Features
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The dataset contains a lot of genetic and clinical features which can be used for ML modelling.
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The features are summarized in the table below:
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| Column Name | Data Type | Description | Example Values |
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|-------------|-----------|-------------|----------------|
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| **targetId** | string | Ensembl gene identifier representing the target gene | `ENSG00000004468`, `ENSG00000065518` |
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| **diseaseId** | string | Disease ontology identifier using EFO or MONDO terms | `EFO_0000203`, `MONDO_0005148` |
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| **nctid** | string | ClinicalTrials.gov identifier for the clinical trial | `NCT03236428`, `NCT01089192` |
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| **clinicalStatus** | string | Current status of the clinical trial | `Active, not recruiting`, `Completed`, `Withdrawn`, `Terminated`, `Suspended` |
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| **clinicalPhase** | int64 | Numeric representation of the clinical trial phase | `1`, `2`, `3`, `4` |
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| **studyStartDate** | string | Date when the clinical trial began (YYYY-MM-DD format) | `2017-11-24`, `2016-11-30` |
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| **stopStatus** | string | Reason for trial discontinuation (null if ongoing/completed normally) | `null`, `Withdrawn`, `Terminated`, `Suspended` |
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| **isStopped** | string | Boolean indicator if the trial was stopped | `stopped`, `null` |
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| **phase4** | string | Indicates if this is a Phase IV (post-marketing) trial | `Phase IV`, `null` |
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| **phase3** | string | Indicates if this is a Phase III trial | `Phase III+`, `null` |
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| **phase2** | string | Indicates if this is a Phase II trial | Various phase indicators, `null` |
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| **id** | int64 | Internal record identifier | Numeric identifiers |
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| **why_stopped** | string | Detailed reason why a trial was discontinued | Trial-specific discontinuation reasons |
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| **phase** | string | String representation of the trial phase | Phase descriptors |
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| **status** | string | Trial status information | Status descriptions |
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| **last_update_posted_date** | string | Most recent update to the trial record | Date strings |
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| **completion_date** | string | Date when the trial was completed (if applicable) | Date strings |
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| **prediction** | string | Computational prediction about the target-disease association | Prediction values |
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| **metaprediction** | string | Meta-analysis prediction combining multiple evidence sources | Meta-prediction values |
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| **max_l2g** | double | Maximum locus-to-gene (L2G) score indicating genetic evidence strength | Floating point scores |
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| **l2g_075** | string | L2G score threshold at 0.75 confidence level | Threshold indicators |
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| **l2g_05** | string | L2G score threshold at 0.5 confidence level | Threshold indicators |
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| **l2g_025** | string | L2G score threshold at 0.25 confidence level | Threshold indicators |
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| **l2g_01** | string | L2G score threshold at 0.1 confidence level | Threshold indicators |
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| **l2g_005** | string | L2G score threshold at 0.05 confidence level | Threshold indicators |
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| **taId** | string | Therapeutic area identifier | Therapeutic area codes |
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| **taLabel** | string | Full therapeutic area label | Therapeutic area names |
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| **taLabelSimple** | string | Simplified therapeutic area label | Simplified area names |
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| **gc** | double | Gene constraint score | Floating point constraint scores |
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| **lof_tolerance** | string | Loss-of-function tolerance classification | Tolerance classifications |
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| **rnaDistribution** | string | RNA expression distribution pattern | Distribution patterns |
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| **rnaSpecificity** | string | RNA expression specificity | Specificity measures |
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| **partnersBin** | string | Protein interaction partners classification | Partner classifications |
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| **datasourceId** | string | Identifier for the data source | Data source identifiers |
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| **datatypeId** | string | Type of evidence data | Evidence type identifiers |
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| **total** | int64 | Total count or score for the evidence | Numeric totals |
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## Citation
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```
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@article{razuvayevskaya2023clinical,
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title={Why Clinical Trials Stop: The Role of Genetics},
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author={Razuvayevskaya, Olesya and Lopez, Irene and Dunham, Ian and Ochoa, David},
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journal={medRxiv},
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pages={2023--02},
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year={2023},
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publisher={Cold Spring Harbor Laboratory},
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doi={10.1101/2023.02.07.23285407}
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}
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```
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## OpenTargets
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Interested in other datasets or research related to drug or target discovery? Visit [OpenTargets Platform](https://www.opentargets.org/)
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## Reproduction
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Dataset was generated with the 22.04 Open Targets Data with [this script](https://github.com/opentargets/stopReasons/blob/main/analysis/python/enrichments.py).
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