Author

A. Frigessi

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

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Assay:clinical cohort / trial· 1 Research Focus:deconvolution· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Kohn-Luque· 1 shared A. Köhn-Luque· 1 shared A.-L. Boerresen-Dale· 1 shared D. S. Tadele· 1 shared E. F. Borgen· 1 shared E. Harivel· 1 shared E. M. Myklebust· 1 shared F. Schjesvold· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 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 paperCancer Biology

A. Kohn-Luque

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Phenotypic deconvolution in heterogeneous cancer cell populations using drug screening data

A. Köhn-Luque, E. M. Myklebust, D. S. Tadele, M. Giliberto, L. Schmiester, J. Noory, E. Harivel, P. Arsenteva, S. M. Mumenthaler, F. Schjesvold, K. Tasken, J. M. Enserink, K. Leder, A. Frigessi, J. Foo

This paper introduces PhenoPop, a method to deconvolve tumor heterogeneity using drug screening data, identifying subpopulations with differential drug responses and their frequencies.

bioRxiv · Jan 17, 2022Cancer Biology

Towards personalized computer simulation of breast cancer treatment: a multi-scale pharmacokinetic and pharmacodynamic model informed by multi-type patient data

X. Lai, O. Geier, T. Fleischer, O. Garred, E. F. Borgen, S. Funke, S. Kumar, M. E. Rognes, T. Seierstad, A.-L. Boerresen-Dale, V. N. Kristensen, O. Engebraaten, A. Kohn-Luque, A. Frigessi

This study develops a multi-scale pharmacokinetic and pharmacodynamic model of breast cancer treatment, personalized with patient data to simulate and improve treatment outcomes.

bioRxiv · Jul 19, 2018Cancer Biology