Publication: Cell Population Identification and Benchmarking of Tools in Single-Cell Data Analysis
Cell Population Identification and Benchmarking of Tools in Single-Cell Data Analysis
Date
Date
Date
Citations
Sonrel, A. (2024). Cell Population Identification and Benchmarking of Tools in Single-Cell Data Analysis. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-258672
Abstract
Abstract
Abstract
In an era of Biology where modern imaging and sequencing technologies allow to study almost any biological process at molecular levels, it is now possible to study the content, activity and identity of single cells from almost any organism. High-throughput sequencing technologies are now widely used in laboratories around the globe and are able to routinely sequence the genetic content of thousands or even millions of cells. Not only it is used to study basic cellular properties but also to understand the mechanisms underlying disease
Metrics
Downloads
Views
Citations
Additional indexing
Creators (Authors)
Faculty
Faculty
Faculty
Item Type
Item Type
Item Type
Referees
Language
Language
Language
Place of Publication
Place of Publication
Place of Publication
Publication date
Publication date
Publication date
Date available
Date available
Date available
Number of pages
Number of pages
Number of pages
OA Status
OA Status
OA Status
Metrics
Downloads
Views
Citations
Citations
Sonrel, A. (2024). Cell Population Identification and Benchmarking of Tools in Single-Cell Data Analysis. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-258672
