Learning representations for image-based profiling of perturbations is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.574. It has been cited 45 times.
Scored on demand from live citation data
Linked data & code
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Base Score Contribution
0.574
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 1P41GM135019-01
Center for Open Bioimage Analysis
National Institutes of Health
Grant: 3R35GM122547-02S1
Extracting rich information from biological images
National Science Foundation
Grant: 2348683
Collaborative Research: Image-based Readouts of Cellular State using Universal Morphology Embeddings
Fields of Study
Keywords
DeepProfiler 2023 publication
DeepProfiler 2023 publication
Example dataset for DeepProfiler
Example dataset for DeepProfiler
CellPainting-CNN model
CellPainting-CNN model