Yuxuan Richard Xie

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Mass Spectrometry

Convolutional Neural Network

Machine Learning

Top Venues

Journal of proteome research

Analytical chemistry

This page only lists publications with an associated author ORCID identifier.

Publications

Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods 21 (3) (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods 21 (3) (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods 21 (3) (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Timothy J Trinklein, Jonathan V Sweedler, Fan Lam
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature methods 21 (3) (2024)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Jonathan V Sweedler, Fan Lam
Integrative Multiscale Biochemical Mapping of the Brain via Deep-Learning-Enhanced High-Throughput Mass Spectrometry. bioRxiv : the preprint server for biology (2023)
Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J Rice, Timothy P Riley, Danqing Li, Hannah B Catterall, Christine E Tinberg, Jeffrey J Gray, Kathy Y Wei
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features. mAbs 15 (1) (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research 22 (2) (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research 22 (2) (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research (2023)
Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J Rice, Timothy P Riley, Danqing Li, Hannah B Catterall, Christine E Tinberg, Jeffrey J Gray, Kathy Y Wei
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features. mAbs 15 (1) (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research 22 (2) (2023)
Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler
Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry. Journal of proteome research 22 (2) (2023)
Yuxuan Richard Xie, Daniel C Castro, Stanislav S Rubakhin, Jonathan V Sweedler, Fan Lam
Enhancing the Throughput of FT Mass Spectrometry Imaging Using Joint Compressed Sensing and Subspace Modeling. Analytical chemistry 94 (13) (2022)
Daniel C Castro, Yuxuan Richard Xie, Stanislav S Rubakhin, Elena V Romanova, Jonathan V Sweedler
Image-guided MALDI mass spectrometry for high-throughput single-organelle characterization. Nature methods 18 (10) (2021)
Yuxuan Richard Xie, Daniel C Castro, Fan Lam, Jonathan V Sweedler
Accelerating Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry Imaging Using a Subspace Approach. Journal of the American Society for Mass Spectrometry 31 (11) (2020)
Yuxuan Richard Xie, Daniel C Castro, Sara E Bell, Stanislav S Rubakhin, Jonathan V Sweedler
Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning. Analytical chemistry 92 (13) (2020)