iSEEtree: interactive explorer for hierarchical data

iSEEtree was implemented in the R programming language and is available on Bioconductor at https://bioconductor.org/packages/iSEEtree under an Artistic 2.0 license.

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf107
Citations
2
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
1.56

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

iSEEtree: interactive explorer for hierarchical data

Tuomas Borman, Giulio Benedetti, Leo Lahti, Ely Seraidarian et al.
2 citations
Bioinformatics Advances
Data Mining Algorithms and Applications
1.56
article

iSEEtree: interactive explorer for hierarchical data

Tuomas Borman, Giulio Benedetti, Leo Lahti, Ely Seraidarian, Theotime Pralas, Akewak Jeba
article en
2 citations

Abstract

iSEEtree was implemented in the R programming language and is available on Bioconductor at https://bioconductor.org/packages/iSEEtree under an Artistic 2.0 license.

Bioinformatics AdvancesVol. 5(1)
University of Turku (FI)
European Commission, Academy of Finland
Openalex Percentile: Top 11%
Data Mining Algorithms and Applications
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.