print

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
Conference Proceedings at Scopus
Article at Scopus
kvartiil
Q3
category (general)
Computer science
Mathematics
category (sub)
Computer science. General computer science
Mathematics. Theoretical computer science
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
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Data science group
Houari, A., Yahia, S. B. Top-K formal concepts for identifying positively and negatively correlated biclusters // Model and Data Engineering : 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021 : proceedings. Cham : Springer Nature, 2021. p. 156-172. (Lecture notes in computer science ; 12732). https://doi.org/10.1007/978-3-030-78428-7_13