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Xiao-Nan Fan

Showing results (1-10 of 13) with videos related to

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Molecular Biosystems|January 16, 2015
lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learningXiao-Nan Fan, Shao-Wu Zhang
Medicinal Chemistry (Shariqah (United Arab Emirates))|May 13, 2017
Computational Methods for Predicting ncRNA-protein InteractionsShao-Wu Zhang, Xiao-Nan Fan
Inorganic Chemistry|March 28, 2020
Air-Stable Half-Sandwich Iridium Complexes as Aerobic Oxidation Catalysts for Imine SynthesisXiao-Nan Fan, Hui-Dan Ou, Wei Deng, et al.
Inorganic Chemistry|October 28, 2020
Half-Sandwich Iridium Complexes for the One-Pot Synthesis of Amides: Preparation, Structure, and Diverse Catalytic ActivityXiao-Nan Fan, Wei Deng, Zhen-Jiang Liu, et al.
International Journal of Molecular Sciences|July 29, 2020
lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep LearningXiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, et al.
Analytical Biochemistry|May 27, 2020
LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trickShao-Wu Zhang, Xi-Xi Zhang, Xiao-Nan Fan, et al.
BMC Bioinformatics|February 21, 2019
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual informationXiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, et al.
Bioinformatics (Oxford, England)|May 11, 2021
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylationSong-Yao Zhang, Shao-Wu Zhang, Yujiao Tang, et al.
Computational and Structural Biotechnology Journal|June 17, 2021
Recent advances in functional annotation and prediction of the epitranscriptomeSong-Yao Zhang, Shao-Wu Zhang, Teng Zhang, et al.
Analytical Biochemistry|December 24, 2013
MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templatesShao-Wu Zhang, Yan-Fang Liu, Yong Yu, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Molecular Biosystems|January 16, 2015
lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learningXiao-Nan Fan, Shao-Wu Zhang
Medicinal Chemistry (Shariqah (United Arab Emirates))|May 13, 2017
Computational Methods for Predicting ncRNA-protein InteractionsShao-Wu Zhang, Xiao-Nan Fan
Inorganic Chemistry|March 28, 2020
Air-Stable Half-Sandwich Iridium Complexes as Aerobic Oxidation Catalysts for Imine SynthesisXiao-Nan Fan, Hui-Dan Ou, Wei Deng, et al.
Inorganic Chemistry|October 28, 2020
Half-Sandwich Iridium Complexes for the One-Pot Synthesis of Amides: Preparation, Structure, and Diverse Catalytic ActivityXiao-Nan Fan, Wei Deng, Zhen-Jiang Liu, et al.
International Journal of Molecular Sciences|July 29, 2020
lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep LearningXiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, et al.
Analytical Biochemistry|May 27, 2020
LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trickShao-Wu Zhang, Xi-Xi Zhang, Xiao-Nan Fan, et al.
BMC Bioinformatics|February 21, 2019
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual informationXiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, et al.
Bioinformatics (Oxford, England)|May 11, 2021
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylationSong-Yao Zhang, Shao-Wu Zhang, Yujiao Tang, et al.
Computational and Structural Biotechnology Journal|June 17, 2021
Recent advances in functional annotation and prediction of the epitranscriptomeSong-Yao Zhang, Shao-Wu Zhang, Teng Zhang, et al.
Analytical Biochemistry|December 24, 2013
MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templatesShao-Wu Zhang, Yan-Fang Liu, Yong Yu, et al.
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