Chunshen Long

发表

EmExplorer: a database for exploring time activation of gene expression in mammalian embryos

Yongchun Zuo, Lei Yang, Bosu Hu, 2019, Open Biology.

Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis

Yongchun Zuo, Wuritu Yang, Lei Zheng, 2020, Molecular therapy. Nucleic acids.

The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming

Lei Yang, Yongchun Zuo, Chunshen Long, 2019, Computational and structural biotechnology journal.

Dppa2/4 as a trigger of signaling pathways to promote zygote genome activation by binding to CG-rich region.

Yongchun Zuo, Xueling Li, Chunshen Long, 2020, Briefings in bioinformatics.

Dppa2/4 promotes zygotic genome activation by binding to GC-rich region in signaling pathways

Yongchun Zuo, Chunshen Long, Jinzhu Xiang, 2020, bioRxiv.

Competitive binding of TET1 and DNMT3A/B cooperates the DNA methylation pattern in human embryonic stem cells.

Yongchun Zuo, Siqi Yang, Chunshen Long, 2022, Biochimica et biophysica acta. Gene regulatory mechanisms.

Reprogramming barriers in bovine cells nuclear transfer revealed by single‐cell RNA‐seq analysis

S. Bao, Yongchun Zuo, Chunshen Long, 2022, Journal of cellular and molecular medicine.

Somatic Cell Nuclear Transfer Embryos Show Massive Dysregulation of Genes Involved in Transcription Pathways

Yongchun Zuo, Chunshen Long, Hanshuang Li, 2020, bioRxiv.

EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis

Yong-qiang Xing, Yongchun Zuo, Lei Zheng, 2022, Nucleic acids research.

WGBS combined with RNA-seq analysis revealed that Dnmt1 affects the methylation modification and gene expression changes during mouse oocyte vitrification.

Yongchun Zuo, Chunshen Long, Gang Liu, 2021, Theriogenology.

Nuclear Transfer Arrest Embryos Show Massive Dysregulation of Genes Involved in Transcription Pathways

Yongchun Zuo, Wuritu Yang, Chunshen Long, 2021, International journal of molecular sciences.

HelPredictor models single-cell transcriptome to predict human embryo lineage allocation

Lei Yang, Wuritu Yang, Yongchun Zuo, 2021, Briefings Bioinform..

The Cumulative Formation of R-loop Interacts with Histone Modifications to Shape Cell Reprogramming

Yongchun Zuo, Chunshen Long, Hanshuang Li, 2022, International journal of molecular sciences.

Transcriptome Comparisons of Multi-Species Identify Differential Genome Activation of Mammals Embryogenesis

Shuai Liu, Wei Li, Yongchun Zuo, 2019, IEEE Access.

Fatty acid metabolism as an indicator for the maternal-to-zygotic transition in porcine IVF embryos revealed by RNA sequencing.

Dongxia Hou, Yongchun Zuo, Xueling Li, 2020, Theriogenology.

eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition

Hao Wang, Yongchun Zuo, Pengfei Liang, 2021, Bioinform..

Characterizing Cellular Differentiation Potency and Waddington Landscape via Energy Indicator

L. Luo, Yongchun Zuo, Chunshen Long, 2023, Research.

Journal Pre-proof Machine Learning of Single-cell Transcriptome Highly Identify mRNA Signature by Comparing F-score Selection with Differential Expression Analysis

Yongchun Zuo, Wuritu Yang, Lei Zheng, 2020 .

Deciphering the decisive factors driving fate bifurcations in somatic cell reprogramming

Yongchun Zuo, Chunshen Long, Pengfei Liang, 2023, Molecular therapy. Nucleic acids.

Chromatin region binning of gene expression for improving embryo cell subtype identification

Yongchun Zuo, Chunshen Long, Pengfei Liang, 2024, Computers in Biology and Medicine.

EfNST: A composite scaling network of EfficientNet for improving spatial domain identification performance

Yongchun Zuo, Chunshen Long, Yanan Zhao, 2023, bioRxiv.

An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data

Yongchun Zuo, Chunshen Long, Pengfei Liang, 2024, Fundamental research.

SpaNCMG: improving spatial domains identification of spatial transcriptomics using neighborhood-complementary mixed-view graph convolutional network

Yongchun Zuo, Chunshen Long, Hanshuang Li, 2024, Briefings Bioinform..