For more information about RxRx19a please visit RxRx.ai and read the asscociated paper, Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2.
RxRx19a was produced by Recursion and is part of a larger set of datasets than can be found at RxRx.ai.
The metadata can be found in metadata.csv
and downloaded from here. The schema of the metadata is as follows:
Attribute | Description |
---|---|
site_id | Unique identifier of a given site |
well_id | Unique identifier of a given well |
cell_type | Cell type tested |
experiment | Experiment identifier |
plate | Plate number within the experiment |
well | Location on the plate |
site | Indication of the location in the well where image was taken (1, 2, 3 or 4) |
disease_condition | The disease condition tested in the well (mock, irradiated or viral) |
treatment | Compound tested in the well |
treatment_conc | Compound concentration tested (in uM) |
The images are found in images/*
and can be downloaded from here (n.b. this is 445GB).
The image data are 1024x1024 8-bit png
files. The image paths, such as HRCE-1/Plate1/AA02_s2_w3.png
, can be read as:
Experiment Name: Cell type and experiment number (HRCE experiment 1)
Plate Number (1)
Well location on plate (column AA, row 2)
Site (2)
Channel (3)
All five channels (w1
- w5
) make up an single image of a given site
.
The deep learning embeddings can be found in embeddings.csv
and downloaded from here (n.b. this is 1.4GB).
Each row in the csv has a site_id
as described in the metadata schema. The remaining 1024 columns is the embedding for that respective site.
This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Hi there,
I am working with the RxRx19 dataset and I have a question regarding the dataset itself. Where should I direct my inquiry?
thanks!