Top-K formal concepts for identifying positively and negatively correlated biclusters
author
Houari, Amina
Ben Yahia, Sadok
statement of authorship
Amina Houari & Sadok Ben Yahia
source
Model and Data Engineering : 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021 : proceedings
location of publication
Cham
publisher
Springer Nature
year of publication
2021
pages
p. 156-172
series
Lecture notes in computer science ; 12732
conference name, date
10th International Conference, MEDI 2021, Tallinn, Estonia, June 21-23, 2021
conference location
Virtual Conference
url
https://doi.org/10.1007/978-3-030-78428-7_13
subject term
bioinformaatika
mikrokiibid
korrelatsioonanalüüs
Scopus
https://www.scopus.com/sourceid/25674
https://www.scopus.com/record/display.uri?eid=2-s2.0-85111353506&origin=inward&txGid=c510236f400ca0a56fd5169d46ed7aff
quartile
Q3
category (general)
Computer science
Arvutiteadus
Mathematics
Matemaatika
category (sub)
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
Mathematics. Theoretical computer science
Matemaatika. Teoreetiline arvutiteadus
keyword
biclustering
formal concept analysis
top-K formal concepts
bioinformatics
DNA microarray data
positive correlation
negative correlation
ISSN
0302-9743
1611-3349
ISBN
978-3-030-78427-0
978-3-030-78428-7
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Data science group