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Update file description #15

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2 changes: 2 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -27,5 +27,7 @@

* Added integrated test resource (PR #5).

* Updated file description in yaml file (PR #15).

## BUGFIXES

2 changes: 1 addition & 1 deletion src/api/file_integrated.yaml
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@@ -1,7 +1,7 @@
type: file
example: "resources_test/task_cyto_batch_integration/starter_file/integrated.h5ad"
label: Integrated
summary: "Integrated dataset"
summary: "Integrated dataset which batch effect was corrected by an algorithm"
info:
format:
type: h5ad
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8 changes: 5 additions & 3 deletions src/api/file_unintegrated.yaml
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@@ -1,9 +1,11 @@
#TODO: Change to the required and/or optional fields of the anndata
type: file
example: "resources_test/task_cyto_batch_integration/starter_file/unintegrated.h5ad"
label: "Unintegrated"
summary: "Unintegrated dataset"

label: Unintegrated
summary: |
The complete unintegrated dataset, including all cells' metadata (columns) from the
unintegrated_censored dataset.
The cells in this dataset are the same to those in the unintegrated_censored dataset.
info:
format:
type: h5ad
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10 changes: 8 additions & 2 deletions src/api/file_unintegrated_censored.yaml
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@@ -1,8 +1,14 @@
#TODO: Change to the required and/or optional fields of the anndata
type: file
example: "resources_test/task_cyto_batch_integration/starter_file/unintegrated_censored.h5ad"
label: "Unintegrated Censored"
summary: "Unintegrated dataset"
label: Unintegrated Censored
summary: |
An unintegrated dataset with certain columns (cells metadata), such as the donor information, hidden.
These columns are intentionally hidden to prevent bias.
The batch correction algorithm should not have to rely on these information
to properly integrate different batches.
This dataset is used as the input for the batch correction algorithm.
The cells therein are identical to those in the unintegrated dataset.
info:
format:
type: h5ad
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14 changes: 10 additions & 4 deletions src/api/file_validation.yaml
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Expand Up @@ -3,10 +3,16 @@ example: "resources_test/task_cyto_batch_integration/starter_file/validation.h5a
label: Validation
summary: Hold-out dataset for validation.
description: |
Samples that were held out and will later be used only to assess whether
the batch integration was successful. E.g. if a donor from batch 2 was corrected towards batch 1,
but also actually measured in batch 1 (without being used as input to the algorithm).

Dataset containing cells from samples that were held out for evaluating batch integration output.
The cells that are in this dataset are not present in the unintegrated or unintegrated_censored datasets.
For example, if samples from donor A are present in batch 1 and 2, the sample from batch 1
may be used as input for the batch correction algorithm (and thus present in unintegrated
and unintegrated_censored datasets).
The sample from batch 2, may not be included as an input for the batch correction algorithm,
but is needed to validate whether whether the algorithm managed to correct the batch effect
in batch 2 towards batch 1.
This sample will then be included in this dataset (but not in unintegrated
and unintegrated_censored datasets).
info:
format:
type: h5ad
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