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DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Cell Systems
- Topic
- Single-cell and spatial transcriptomics
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- —
- Funders
- National Institute of General Medical SciencesUniversity of California, San FranciscoCommon FundYork UniversityDamon Runyon Cancer Research FoundationEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCalifornia Institute of TechnologyU.S. Department of DefenseNational Institutes of HealthNational Science Foundation
- Keywords
- Spurious relationshipComputational biologyGeneGene expressionIdentification (biology)BiologyRNAExpression (computer science)Limit (mathematics)CellRNA-SeqBiological systemComputer sciencePattern recognition (psychology)GeneticsArtificial intelligenceTranscriptomeMathematicsMachine learning
- Has abstract in OpenAlex
- no