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Lulu Shang

Showing results (1-10 of 25) with videos related to

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Nature Communications|November 23, 2022
Spatially aware dimension reduction for spatial transcriptomicsLulu Shang, Xiang Zhou
Genome Biology|March 3, 2023
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomicsJiaqiang Zhu, Lulu Shang, Xiang Zhou
Frontiers in Genetics|February 15, 2021
A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell TypesHuanhuan Zhu, Lulu Shang, Xiang Zhou
Nature Communications|January 26, 2025
Statistical identification of cell type-specific spatially variable genes in spatial transcriptomicsLulu Shang, Peijun Wu, Xiang Zhou
Plos Genetics|April 21, 2020
Leveraging gene co-expression patterns to infer trait-relevant tissues in genome-wide association studiesLulu Shang, Jennifer A Smith, Xiang Zhou
Small Methods|May 9, 2025
Unraveling Tissue Complexity Through Single-Cell and Spatial TranscriptomicsShiquan Sun, Chaoyong Yang, Lulu Shang, et al.
Biomed Research International|February 7, 2019
Ranking Cancer Proteins by Integrating PPI Network and Protein Expression ProfilesJie Ren, Lulu Shang, Qing Wang, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Optimal transport modeling uncovers spatial domain dynamics in spatiotemporal transcriptomics studiesWenjing Ma, Siyu Hou, Lulu Shang, et al.
BMC Medical Genomics|December 29, 2020
Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association StudiesBinze Li, Julian Dong, Jiaqi Yu, et al.
The Annals of Applied Statistics|June 29, 2026
BRIDGING THE GAP: ENHANCING THE GENERALIZABILITY OF EPIGENETIC CLOCKS THROUGH TRANSFER LEARNINGLan Luo, Lulu Shang, Jaclyn M Goodrich, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Nature Communications|November 23, 2022
Spatially aware dimension reduction for spatial transcriptomicsLulu Shang, Xiang Zhou
Genome Biology|March 3, 2023
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomicsJiaqiang Zhu, Lulu Shang, Xiang Zhou
Frontiers in Genetics|February 15, 2021
A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell TypesHuanhuan Zhu, Lulu Shang, Xiang Zhou
Nature Communications|January 26, 2025
Statistical identification of cell type-specific spatially variable genes in spatial transcriptomicsLulu Shang, Peijun Wu, Xiang Zhou
Plos Genetics|April 21, 2020
Leveraging gene co-expression patterns to infer trait-relevant tissues in genome-wide association studiesLulu Shang, Jennifer A Smith, Xiang Zhou
Small Methods|May 9, 2025
Unraveling Tissue Complexity Through Single-Cell and Spatial TranscriptomicsShiquan Sun, Chaoyong Yang, Lulu Shang, et al.
Biomed Research International|February 7, 2019
Ranking Cancer Proteins by Integrating PPI Network and Protein Expression ProfilesJie Ren, Lulu Shang, Qing Wang, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Optimal transport modeling uncovers spatial domain dynamics in spatiotemporal transcriptomics studiesWenjing Ma, Siyu Hou, Lulu Shang, et al.
BMC Medical Genomics|December 29, 2020
Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association StudiesBinze Li, Julian Dong, Jiaqi Yu, et al.
The Annals of Applied Statistics|June 29, 2026
BRIDGING THE GAP: ENHANCING THE GENERALIZABILITY OF EPIGENETIC CLOCKS THROUGH TRANSFER LEARNINGLan Luo, Lulu Shang, Jaclyn M Goodrich, et al.
Pageof 3