Author

Liine Kasak

ETH Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aayush GroveriD· 1 shared Ekaterina KrymovaiD· 1 shared Lin ZhangiD· 1 shared Till MuseriD· 1 shared Valentina BoevaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Aayush GroverORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Early feature extraction drives model performance in high-resolution chromatin accessibility prediction: A systematic evaluation of deep learning architectures

Aayush Grover, Till Muser, Liine Kasak, Lin Zhang, Ekaterina Krymova, Valentina Boeva

The paper evaluates deep learning architectures for high-resolution chromatin accessibility prediction, finding that early feature extraction, not downstream architecture, primarily determines performance.

Genome Research · Mar 1, 2026Peer-reviewedGenomics