Author

Nicholas J Lucenti

University of Missouri–Kansas CityORCID 0009-0003-8189-1422Unclaimed ORCID profile · follow to get notified of new preprints

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:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Majid Bani-YaghoubiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

Systems BiologybioRxivPreprintOct 6, 2026

RI-SINDy: Regulation-Informed Sparse Model Discovery in Biological Gene Networks

Nicholas J Lucenti, Majid Bani-Yaghoub

RI-SINDy improves sparse regression for gene network modeling by addressing multicollinearity in regulatory nonlinearities, achieving better coefficient recovery and trajectory accuracy in both experimental and synthetic data.

DOI 10.64898/2026.10.04.756519

statistical modelmachine learning (classical)

𝕏 PostBluesky