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Frontiers in Genetics
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July 12, 2023
Editorial: Enhanced biological mechanism study, drug discovery and individualized medicine with single-cell multiomics data and integrative analysis
Xinying Zhang, Panwen Wang, Jing Qin
Methods in Molecular Biology (Clifton, N.J.)
|
December 22, 2017
Discovery of Surface Target Proteins Linking Drugs, Molecular Markers, Gene Regulation, Protein Networks, and Disease by Using a Web-Based Platform Targets-search
Bin Yan, Panwen Wang, Junwen Wang, et al.
Biorxiv : the Preprint Server for Biology
|
November 24, 2025
ceQTL: A co-expression QTL model to detect a variant that affects transcription factor binding and its target regulation
Panwen Wang, Li Liu, Junwen Wang, et al.
Metallomics : Integrated Biometal Science
|
August 9, 2013
Histidine-rich proteins in prokaryotes: metal homeostasis and environmental habitat-related occurrence
Tianfan Cheng, Wei Xia, Panwen Wang, et al.
Cardiology
|
March 18, 2021
National Cardiovascular Data Registry Model Predicts Long-Term Mortality in Patients Undergoing Percutaneous Coronary Interventions
Pradyumna Agasthi, Chieh-Ju Chao, Panwen Wang, et al.
Nucleic Acids Research
|
May 19, 2011
ChIP-Array: combinatory analysis of ChIP-seq/chip and microarray gene expression data to discover direct/indirect targets of a transcription factor
Jing Qin, Mulin Jun Li, Panwen Wang, et al.
Placenta
|
January 16, 2019
Integrated RNA-seq and ChIP-seq analysis reveals a feed-forward loop regulating H3K9ac and key labor drivers in human placenta
Bingbing Wang, Panwen Wang, Nataliya Parobchak, et al.
Nucleic Acids Research
|
November 22, 2017
Corrigendum: Linnorm: improved statistical analysis for single cell RNA-seq expression data
Shun H Yip, Panwen Wang, Jean-Pierre A Kocher, et al.
Nucleic Acids Research
|
July 19, 2014
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples
Hari Krishna Yalamanchili, Zhaoyuan Li, Panwen Wang, et al.
Nucleic Acids Research
|
October 6, 2017
Linnorm: improved statistical analysis for single cell RNA-seq expression data
Shun H Yip, Panwen Wang, Jean-Pierre A Kocher, et al.
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of 6
Search research articles
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Showing results (1-10 of 55) with videos related to
Sort By:
Page
of 6
Frontiers in Genetics
|
July 12, 2023
Editorial: Enhanced biological mechanism study, drug discovery and individualized medicine with single-cell multiomics data and integrative analysis
Xinying Zhang, Panwen Wang, Jing Qin
Methods in Molecular Biology (Clifton, N.J.)
|
December 22, 2017
Discovery of Surface Target Proteins Linking Drugs, Molecular Markers, Gene Regulation, Protein Networks, and Disease by Using a Web-Based Platform Targets-search
Bin Yan, Panwen Wang, Junwen Wang, et al.
Biorxiv : the Preprint Server for Biology
|
November 24, 2025
ceQTL: A co-expression QTL model to detect a variant that affects transcription factor binding and its target regulation
Panwen Wang, Li Liu, Junwen Wang, et al.
Metallomics : Integrated Biometal Science
|
August 9, 2013
Histidine-rich proteins in prokaryotes: metal homeostasis and environmental habitat-related occurrence
Tianfan Cheng, Wei Xia, Panwen Wang, et al.
Cardiology
|
March 18, 2021
National Cardiovascular Data Registry Model Predicts Long-Term Mortality in Patients Undergoing Percutaneous Coronary Interventions
Pradyumna Agasthi, Chieh-Ju Chao, Panwen Wang, et al.
Nucleic Acids Research
|
May 19, 2011
ChIP-Array: combinatory analysis of ChIP-seq/chip and microarray gene expression data to discover direct/indirect targets of a transcription factor
Jing Qin, Mulin Jun Li, Panwen Wang, et al.
Placenta
|
January 16, 2019
Integrated RNA-seq and ChIP-seq analysis reveals a feed-forward loop regulating H3K9ac and key labor drivers in human placenta
Bingbing Wang, Panwen Wang, Nataliya Parobchak, et al.
Nucleic Acids Research
|
November 22, 2017
Corrigendum: Linnorm: improved statistical analysis for single cell RNA-seq expression data
Shun H Yip, Panwen Wang, Jean-Pierre A Kocher, et al.
Nucleic Acids Research
|
July 19, 2014
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples
Hari Krishna Yalamanchili, Zhaoyuan Li, Panwen Wang, et al.
Nucleic Acids Research
|
October 6, 2017
Linnorm: improved statistical analysis for single cell RNA-seq expression data
Shun H Yip, Panwen Wang, Jean-Pierre A Kocher, et al.
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of 6