Author

Paul Michael Loriaux

University of California San Diego

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

Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander HoffmanniD· 1 shared Ying TangiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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 paperSystems Biology

Alexander HoffmannORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

As potential biomarkers, kinetic network features may be more predictive than molecule abundances

Paul Michael Loriaux, Ying Tang, Alexander Hoffmann

The paper shows that kinetic network features, not molecule abundances, are more predictive for drug response in a TRAIL cell death model using machine learning.

bioRxiv · Jul 19, 2021 · PreprintSystems Biology