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PengWei Xing

Showing results (1-10 of 20) with videos related to

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Scientific Reports|January 13, 2017
Detecting N<sup>6</sup>-methyladenosine sites from RNA transcriptomes using ensemble Support Vector MachinesWei Chen, Pengwei Xing, Quan Zou
IEEE Transactions on Nanobioscience|February 7, 2017
PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information OnlyLeyi Wei, Pengwei Xing, Jijun Tang, et al.
RNA (New York, N.Y.)|November 15, 2018
Gene2vec: gene subsequence embedding for prediction of mammalian <i>N</i><sup>6</sup>-methyladenosine sites from mRNAQuan Zou, Pengwei Xing, Leyi Wei, et al.
Scientific Reports|April 26, 2017
Identifying N<sup>6</sup>-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machinePengwei Xing, Ran Su, Fei Guo, et al.
Current Protocols|August 22, 2022
FFPE-ATAC: A Highly Sensitive Method for Profiling Chromatin Accessibility in Formalin-Fixed Paraffin-Embedded SamplesRam Prakash Yadav, Vamsi Krishna Polavarapu, Pengwei Xing, et al.
Scientific Reports|November 29, 2017
A fast approach to detect gene-gene synergyPengwei Xing, Yuan Chen, Jun Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 22, 2017
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection TechniqueLeyi Wei, Pengwei Xing, Gaotao Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2024
Federated Graph Neural Networks: Overview, Techniques, and ChallengesRui Liu, Pengwei Xing, Zichao Deng, et al.
Artificial Intelligence in Medicine|March 22, 2017
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifierLeyi Wei, Pengwei Xing, Jiancang Zeng, et al.
Bio-Protocol|July 22, 2022
A Highly Sensitive Method to Efficiently Profile the Histone Modifications of FFPE SamplesLinxuan Zhao, Vamsi Krishna Polavarapu, Ram Prakash Yadav, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Scientific Reports|January 13, 2017
Detecting N<sup>6</sup>-methyladenosine sites from RNA transcriptomes using ensemble Support Vector MachinesWei Chen, Pengwei Xing, Quan Zou
IEEE Transactions on Nanobioscience|February 7, 2017
PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information OnlyLeyi Wei, Pengwei Xing, Jijun Tang, et al.
RNA (New York, N.Y.)|November 15, 2018
Gene2vec: gene subsequence embedding for prediction of mammalian <i>N</i><sup>6</sup>-methyladenosine sites from mRNAQuan Zou, Pengwei Xing, Leyi Wei, et al.
Scientific Reports|April 26, 2017
Identifying N<sup>6</sup>-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machinePengwei Xing, Ran Su, Fei Guo, et al.
Current Protocols|August 22, 2022
FFPE-ATAC: A Highly Sensitive Method for Profiling Chromatin Accessibility in Formalin-Fixed Paraffin-Embedded SamplesRam Prakash Yadav, Vamsi Krishna Polavarapu, Pengwei Xing, et al.
Scientific Reports|November 29, 2017
A fast approach to detect gene-gene synergyPengwei Xing, Yuan Chen, Jun Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 22, 2017
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection TechniqueLeyi Wei, Pengwei Xing, Gaotao Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2024
Federated Graph Neural Networks: Overview, Techniques, and ChallengesRui Liu, Pengwei Xing, Zichao Deng, et al.
Artificial Intelligence in Medicine|March 22, 2017
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifierLeyi Wei, Pengwei Xing, Jiancang Zeng, et al.
Bio-Protocol|July 22, 2022
A Highly Sensitive Method to Efficiently Profile the Histone Modifications of FFPE SamplesLinxuan Zhao, Vamsi Krishna Polavarapu, Ram Prakash Yadav, et al.
Pageof 2