Staff information

Christine Chang

Data Scientist
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Metz T.O., C.H. Chang, V. Gautam, A. Anjum, S. Tian, F. Wang, and S.M. Colby, et al. 2025. "Introducing ‘identification probability’ for automated and transferable assessment of metabolite identification confidence in metabolomics and related studies." Analytical Chemistry 97, no. 1:1-11. PNNL-SA-202006. doi:10.1021/acs.analchem.4c04060

Chang C.H., S.M. Colby, J.L. Cooper, C.N. Svinth, and J.L. Yaros. 2024. Molecular Vision - Multimodal, multitask retrieval of molecular structure from measured signatures for reference-free compound identification. PNNL-36742. Richland, WA: Pacific Northwest National Laboratory. Molecular Vision - Multimodal, multitask retrieval of molecular structure from measured signatures for reference-free compound identification
Kew W.R., A.N. Myers-Pigg, C.H. Chang, S.M. Colby, J.G. Eder, M.M. Tfaily, and J. Hawkes, et al. 2024. "Reviews and syntheses: Opportunities for robust use of peak intensities from high-resolution mass spectrometry in organic matter studies." Biogeosciences 21, no. 20:4665-4679. PNNL-SA-179733. doi:10.5194/bg-21-4665-2024

Bell S.L., A.E. Zimmerman, B. Stone, C.H. Chang, M.R. Blumer, R.S. Renslow, and J.R. Propster, et al. 2023. "Effects of warming on bacterial growth rates in a peat soil under ambient and elevated CO2." Soil Biology and Biochemistry 178. PNNL-SA-166721. doi:10.1016/j.soilbio.2022.108933
Chang C.H., W.C. Nelson, A.R. Jerger, A.T. Wright, R.G. Egbert, and J.E. McDermott. 2023. "Snekmer: A scalable pipeline for protein sequence fingerprinting based on amino acid recoding." Bioinformatics Advances 3, no. 1:Art. No. vbad005. PNNL-SA-169271. doi:10.1039/d2cc01517j

Colby S.M., C.H. Chang, J.L. Bade, J. Nunez, M.R. Blumer, D.J. Orton, and K.J. Bloodsworth, et al. 2022. "DEIMoS: An Open-Source Tool for Processing High-Dimensional Mass Spectrometry Data." Analytical Chemistry 94, no. 16:6130-6138. PNNL-SA-168444. doi:10.1021/acs.analchem.1c05017

McDermott J.E., S. Feng, C.H. Chang, D.J. Schmidt, and V.G. Danna. 2021. Structural- and Functional-Informed Machine Learning for Protein Function Prediction. PNNL-32088. Richland, WA: Pacific Northwest National Laboratory. Structural- and Functional-Informed Machine Learning for Protein Function Prediction
Walz K., C.H. Chang, M.P. Hanrahan, J. Yang, D. Tofan, W. Holden, and N. Govind, et al. 2021. "Surface Functionalization of Black Phosphorus with Nitrenes: Identification of P=N Bonds Using Isotopic Labeling." Angewandte Chemie International Edition 60, no. 16:9127-9134. PNNL-SA-156794. doi:10.1002/anie.202016033