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Cankun Wang

Showing results (21-30 of 54) with videos related to

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Microbiology Resource Announcements|April 13, 2019
Improved Draft Genome Sequence of <i>Bacillus</i> sp. Strain YF23, Which Has Plant Growth-Promoting ActivityYe Xia, Seth DeBolt, Qin Ma, et al.
Microbiology Resource Announcements|April 13, 2019
Improved Draft Genome Sequence of Pseudomonas poae A2-S9, a Strain with Plant Growth-Promoting ActivityYe Xia, Seth DeBolt, Qin Ma, et al.
Journal of Medical Virology|August 28, 2023
Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysisYingjie Li, Cankun Wang, Anjun Ma, et al.
Biorxiv : the Preprint Server for Biology|August 30, 2023
Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysisYingjie Li, Cankun Wang, Anjun Ma, et al.
Scientific Reports|March 14, 2019
Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features ModelYan Wang, Sen Yang, Jing Zhao, et al.
Bioinformatics (Oxford, England)|September 11, 2019
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq dataJuan Xie, Anjun Ma, Yu Zhang, et al.
Nucleic Acids Research|August 3, 2019
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning frameworkJinyu Yang, Anjun Ma, Adam D Hoppe, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health RecordsWeimin Meng, Jie Xu, Yu Huang, et al.
Pageof 6

Showing results (21-30 of 54) with videos related to

Sort By:
Pageof 6
Microbiology Resource Announcements|April 13, 2019
Improved Draft Genome Sequence of <i>Bacillus</i> sp. Strain YF23, Which Has Plant Growth-Promoting ActivityYe Xia, Seth DeBolt, Qin Ma, et al.
Microbiology Resource Announcements|April 13, 2019
Improved Draft Genome Sequence of Pseudomonas poae A2-S9, a Strain with Plant Growth-Promoting ActivityYe Xia, Seth DeBolt, Qin Ma, et al.
Journal of Medical Virology|August 28, 2023
Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysisYingjie Li, Cankun Wang, Anjun Ma, et al.
Biorxiv : the Preprint Server for Biology|August 30, 2023
Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysisYingjie Li, Cankun Wang, Anjun Ma, et al.
Scientific Reports|March 14, 2019
Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features ModelYan Wang, Sen Yang, Jing Zhao, et al.
Bioinformatics (Oxford, England)|September 11, 2019
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq dataJuan Xie, Anjun Ma, Yu Zhang, et al.
Nucleic Acids Research|August 3, 2019
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning frameworkJinyu Yang, Anjun Ma, Adam D Hoppe, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health RecordsWeimin Meng, Jie Xu, Yu Huang, et al.
Pageof 6