Generalized EmbedSOM on quadtree-structured self-organizing maps
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F20%3A00531735" target="_blank" >RIV/61388963:_____/20:00531735 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/20:10411966 RIV/00023736:_____/20:00013026
Result on the web
<a href="https://doi.org/10.12688/f1000research.21642.2" target="_blank" >https://doi.org/10.12688/f1000research.21642.2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12688/f1000research.21642.2" target="_blank" >10.12688/f1000research.21642.2</a>
Alternative languages
Result language
angličtina
Original language name
Generalized EmbedSOM on quadtree-structured self-organizing maps
Original language description
EmbedSOM is a simple and fast dimensionality reduction algorithm, originally developed for its applications in single-cell cytometry data analysis. We present an updated version of EmbedSOM, viewed as an algorithm for landmark-directed embedding enrichment, and demonstrate that it works well even with manifold-learning techniques other than the self-organizing maps. Using this generalization, we introduce an inwards-growing variant of self-organizing maps that is designed to mitigate some earlier identified deficiencies of EmbedSOM output. Finally, we measure the performance of the generalized EmbedSOM, compare several variants of the algorithm that utilize different landmark-generating functions, and showcase the functionality on single-cell cytometry datasets from recent studies.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
<a href="/en/project/LM2015047" target="_blank" >LM2015047: Czech National Infrastructure for Biological Data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
F1000Research
ISSN
2046-1402
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
May 19
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
2120
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85086220885