Author

Niklas Korsbo

University of CambridgeORCID 0000-0001-9811-3190Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Systems Biology· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Carl Julius MartenseniD· 1 shared Christopher RackauckasiD· 1 shared Henrik JönssoniD· 1 shared Nikhil Yewale· 1 shared Samuel A. IsaacsoniD· 1 shared Sebastian SägeriD· 1 shared Shashi GowdaiD· 1 shared Torkel E. LomaniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 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 paperPharmacology & Toxicology

Carl Julius MartensenORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintJun 17, 2024

Data-Driven Discovery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression

Carl Julius Martensen, Niklas Korsbo, Vijay D. Ivaturi, Sebastian Säger

This paper introduces a method combining DeepNLME and symbolic regression to discover feedback mechanisms in acute myeloid leukaemia using longitudinal data, outperforming baseline models.

3 citations

humandeep learning

𝕏 PostBluesky

Systems BiologyPLoS Computational BiologyPeer-reviewedOct 18, 2023

Catalyst: Fast and flexible modeling of reaction networks

Torkel E. Loman, Yingbo Ma, Vasily Ilin…·Samuel A. Isaacson

Catalyst introduces a Julia library for modeling and simulating chemical reaction networks with high performance and flexibility.

47 citationstop 4%

statistical modelmachine learning (classical)

𝕏 PostBluesky

Systems BiologybioRxivPreprintSep 25, 2019

It’s about time: Analysing an alternative approach for reductionist modelling of linear pathways in systems biology

Niklas Korsbo, Henrik Jönsson

The paper evaluates simplification strategies for linear pathway models, showing that truncating pathways leads to inaccuracies and proposing an alternative approach with better performance.

DOI 10.1101/781708

statistical modelbenchmarking

𝕏 PostBluesky