Publications by authors named "Pengwei Xing"

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scFFPE-ATAC enables high-throughput single cell chromatin accessibility profiling in formalin-fixed paraffin-embedded samples.
Ram Prakash Yadav, Pengwei Xing, Miao Zhao, Peter Hollander, Carina Strell, Xingqi Chen

Nat Commun· November 2025

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Federated Graph Neural Networks: Overview, Techniques, and Challenges.
Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan

IEEE Trans Neural Netw Learn Syst· March 2025

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Genome-wide DNA methylation-analysis of blastic plasmacytoid dendritic cell neoplasm identifies distinct molecular features.
Axel Künstner, Julian Schwarting, Hanno M Witte, Pengwei Xing, Veronica Bernard, Xingqi Chen

Leukemia· May 2024

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Cutaneous squamous cell carcinoma-derived extracellular vesicles exert an oncogenic role by activating cancer-associated fibroblasts.
Chen Li, Chengxi Sun, Warangkana Lohcharoenkal, Mohamad Moustafa Ali, Pengwei Xing

Cell Death Discov· July 2023

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The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies.
Liuhui Kuang, Qiufang Shen, Liyang Chen, Lingzhen Ye, Tao Yan, Pengwei Xing

Plant Commun· September 2022

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FFPE-ATAC: A Highly Sensitive Method for Profiling Chromatin Accessibility in Formalin-Fixed Paraffin-Embedded Samples.
Ram Prakash Yadav, Vamsi Krishna Polavarapu, Pengwei Xing, Xingqi Chen

Curr Protoc· August 2022

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A Highly Sensitive Method to Efficiently Profile the Histone Modifications of FFPE Samples.
Linxuan Zhao, Vamsi Krishna Polavarapu, Ram Prakash Yadav, Pengwei Xing, Xingqi Chen

Bio Protoc· May 2022

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Cell-lineage controlled epigenetic regulation in glioblastoma stem cells determines functionally distinct subgroups and predicts patient survival.
Xi Lu, Naga Prathyusha Maturi, Malin Jarvius, Irem Yildirim, Yonglong Dang, Pengwei Xing, Xingqi Chen

Nat Commun· April 2022

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Profiling chromatin accessibility in formalin-fixed paraffin-embedded samples.
Hua Zhang, Vamsi Krishna Polavarapu, Pengwei Xing, Miao Zhao, Lucy Mathot, Xingqi Chen

Genome Res· January 2022

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FACT-seq: profiling histone modifications in formalin-fixed paraffin-embedded samples with low cell numbers.
Linxuan Zhao, Pengwei Xing, Vamsi Krishna Polavarapu, Miao Zhao, Blanca Valero-Martínez, Xingqi Chen

Nucleic Acids Res· December 2021

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Focal amplifications are associated with chromothripsis events and diverse prognoses in gastric cardia adenocarcinoma.
Xue-Ke Zhao, Pengwei Xing, Xin Song, Miao Zhao, Linxuan Zhao, Xingqi Chen

Nat Commun· November 2021

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The Thioesterase as a Regulator of Lipid Metabolism in Type 2 Diabetes Detected in a Multi-Omics Study of Human Liver.
Marco Cavalli, Klev Diamanti, Yonglong Dang, Pengwei Xing, Gang Pan, Xingqi Chen

OMICS· October 2021

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Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique.
Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji, Quan Zou

IEEE/ACM Trans Comput Biol Bioinform· February 2020

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Gene2vec: gene subsequence embedding for prediction of mammalian -methyladenosine sites from mRNA.
Quan Zou, Pengwei Xing, Leyi Wei, Bin Liu

RNA· February 2019

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Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.
Leyi Wei, Pengwei Xing, Jiancang Zeng, JinXiu Chen, Ran Su

Artif Intell Med· November 2017

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A fast approach to detect gene-gene synergy.
Pengwei Xing, Yuan Chen, Jun Gao, Lianyang Bai, Zheming Yuan

Sci Rep· November 2017

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PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only.
Leyi Wei, Pengwei Xing, Jijun Tang, Quan Zou

IEEE Trans Nanobioscience· June 2017

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CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency.
Leyi Wei, PengWei Xing, Ran Su, Gaotao Shi, Zhanshan Sam Ma

J Proteome Res· May 2017

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Identifying N-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.
Pengwei Xing, Ran Su, Fei Guo, Leyi Wei

Sci Rep· April 2017

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Detecting N-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines.
Wei Chen, Pengwei Xing, Quan Zou

Sci Rep· January 2017

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