Scalable and universal prediction of cellular phenotypes

Tejada Lapuerta, Alejandro;Ji, Yuge

Description

Input embeddings for Prophet, containing 115k treatments and 1.4k cell lines. Treatments are identified by their SMILES string for compounds or gene target for genetic perturbations. Cell lines are identified by their common name.

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Metrics

Dataset Index

0.4

FAIR Score

65%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.17632/g7z3pw3bfw.1

Publisher

Mendeley Data

License

Creative Commons Attribution Non Commercial 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

56%

Source

Scholar Data Model

Keywords

Drug DiscoveryCell BiologyPhenotypingBiomarker DiscoveryCell-Based Assays

Normalization Factors

53.85

CTw

1.00

MTw

1.00