Author

Noah Armstrong

Texas A&M University

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

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:Ribo-seq· 1 Organism:yeast· 1

Frequent Co-Authors

Aart J. VerhoefiD· 1 shared Alma Fernandez· 1 shared Aman YadaviD· 1 shared Arlin Birkby· 1 shared Assame ArnobiD· 1 shared Hung‐Jen WuiD· 1 shared Katy C. KaoiD· 1 shared Ming-Hsun Chou· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperBioinformatics

Aart J. VerhoefORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

Aman Yadav, Arlin Birkby, Noah Armstrong, Assame Arnob, Ming-Hsun Chou, Alma Fernandez, Aart J. Verhoef, Zhenhuan Yi, Siddhant Gulati, Siddhi Kotnis, Qing Sun, Katy C. Kao, Hung‐Jen Wu

This study evaluates how experimental factors affect ML-assisted Raman spectroscopy classification accuracy, finding that data quality and spectral similarity are key limitations.

ACS Omega · Jul 30, 2026Peer-reviewedBioinformatics