Lei Guo

发表

Divide-and-conquer: a flexible deep learning strategy for 1 exploring metabolic heterogeneity from mass spectrometry 2 imaging data

Jiyang Dong, Pengfei Li, Xiangnan Xu, 2022 .

iSegMSI: An Interactive Strategy to Improve Spatial Segmentation of Mass Spectrometry Imaging Data.

Z. Cai, K. Cheng, Jiyang Dong, 2022, Analytical chemistry.

Mass spectrometry imaging-based multi-modal technique: Next-generation of biochemical analysis strategy

Zongwei Cai, Jiyang Dong, Chao Zhao, 2021, Innovation.

Divide and Conquer: A Flexible Deep Learning Strategy for Exploring Metabolic Heterogeneity from Mass Spectrometry Imaging Data

Z. Cai, Jiyang Dong, Xiangnan Xu, 2023, Analytical chemistry.

DeepPSP: A Global-Local Information-Based Deep Neural Network for the Prediction of Protein Phosphorylation Sites.

Jingjing Xu, Lei Guo, Xiangnan Xu, 2020, Journal of proteome research.

Data Filtering and Its Prioritization in Pipelines for Spatial Segmentation of Mass Spectrometry Imaging.

Z. Cai, Zhenxing Hu, Jiyang Dong, 2021, Analytical chemistry.

Comprehensive Profiling of Amine-Containing Metabolite Isomers with Chiral Phosphorus Reagents.

Jiyang Dong, Lei Guo, Changkai Shan, 2023, Analytical chemistry.

eLIMS: Ensemble Learning-Based Spatial Segmentation of Mass Spectrometry Imaging to Explore Metabolic Heterogeneity.

Xiangnan Xu, Lei Guo, Mudassir Shah, 2024, Journal of proteome research.