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Additional file 1 of Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex

Year: 2025

Type: article

Abstract: Additional file 1: Figure S1. Sex classification of mosquitoes. Figure S2. Origin classification of mosquitoes. Table S1. Predicted age distribution for CA and TH strain mosquito test samples using ANN model. Table S2. Predicted age distribution for CA-origin mosquito test samples using non-ANN model. Table S3. Predicted age distribution for TH-origin mosquito test samples using non-ANN model. Table S4. Predicted age distribution for CA- and TH-origin mosquito test samples using non-ANN model

Source: Figshare

DOI: 10.6084/m9.figshare.29288390

Authors: Gao, Zili, Zhang, Yuzhen, Harrington, Laura C., Murdock, Courtney C., Martin, Elisabeth, Manbeck-Mosig, Dalton, Vetrone, Steve, Tremblay, Nicolas, Barker, Christopher M., Clark, John M., He, Lili, Zhu, Wei

Institutions: University of Massachusetts Amherst, University of Massachusetts System, Cornell University, University of California, Davis, Georgia Institute of Technology

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6902370676

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