Author

Michael A. Kochen

University of WashingtonORCID 0000-0002-3379-1529Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Carlos F. LopeziD· 2 shared Herbert M. SauroiD· 2 shared H. Steven WileyiD· 1 shared Joseph L. HellersteiniD· 1 shared Julien SageiD· 1 shared Leonard A. HarrisiD· 1 shared Lucian P. SmithiD· 1 shared Samantha P. BeikiD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersSystems Biology

Carlos F. LopezORCID

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4 papers

Recent·Most cited

Signal integration and integral feedback control with biochemical reaction networks

Steven S. Andrews, Michael A. Kochen, Lucian P. Smith, Song Feng, H. Steven Wiley, Herbert M. Sauro

The paper investigates how biochemical reaction networks perform signal integration and integral feedback control, finding that these capabilities overlap but are not always mutually exclusive.

bioRxiv · Apr 26, 2024 · PreprintSystems Biology

Sensitivity and Frequency Response of Biochemical Cascades

Michael A. Kochen, Joseph L. Hellerstein, Herbert M. Sauro

This paper analyzes the frequency response and sensitivity of biochemical cascades with varying phosphorylation layers and states.

bioRxiv · Sep 14, 2023 · PreprintSystems Biology

Unified Tumor Growth Mechanisms from Multimodel Inference and Dataset Integration

Samantha P. Beik, Leonard A. Harris, Michael A. Kochen, Julien Sage, Vito Quaranta, Carlos F. Lopez

The paper uses Bayesian multimodel inference to analyze tumor growth mechanisms in SCLC, finding that high lineage plasticity, not rare stem-like populations, drives tumor evolution.

PLoS Computational Biology · Jul 5, 2023Peer-reviewedSystems Biology

A probabilistic approach to explore signal execution mechanisms with limited experimental data.

Michael A. Kochen, Carlos F. Lopez

The paper demonstrates that probabilistic methods can explore biochemical network execution mechanisms with limited data by analyzing apoptosis signal processing modes.

Frontiers in Genetics · Jul 10, 2020Peer-reviewedSystems Biology