Author
S. Xu
Brigham and Women's Hospital
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2016-2026 · peak 34/yrCo-Author Collaboration Network
10 top collaborators · 19 mutual co-author links127 papers
Recent·Most cited
- Cancer BiologybioRxivDOI 10.3390/jcm8020205
- Cancer BiologybioRxiv
Systematic Discovery of the Functional Impact of Somatic Genome Alterations in Individual Tumors through Tumor-specific Causal Inference
C. Cai, G. Cooper, K. Lu…·X. Lu
This paper introduces a tumor-specific causal inference framework to identify causative somatic genome alterations and their impact on molecular phenotypes in individual tumors.
DOI 10.1371/journal.pcbi.1007088 - MicrobiologybioRxiv
Fusion expression and anti-Aspergillus flavus activity of a novel inhibitory protein DN-AflR
Y. Liang, Q. kong, Y. Yao…·X. Xie
This paper describes the fusion of DN and AflR genes to create a novel protein that enhances anti-A. flavus activity compared to DN alone.
DOI 10.1016/j.ijfoodmicro.2018.10.015 - Plant BiologybioRxiv
Improvements to the rice genome annotation through large-scale analysis of RNA-Seq and proteomics datasets
Z. Ren, D. Qi, N. Pugh…·A. R. Jones
The paper improves rice genome annotation by analyzing RNA-Seq and proteomics data, identifying 692 genomic loci with potential annotation updates.
DOI 10.1074/mcp.ra118.000832 - BiochemistrybioRxiv
Prodomain-Growth Factor Swapping in the Structure of pro-TGF-β1
B. Zhao, S. Xu, X. Dong…·T. A. Springer
The paper determines the structure of pro-TGF-β1 with a cleavage site mutation, revealing prodomain-GF domain swapping in the dimeric structure and its implications for TGF-β biosynthesis.
DOI 10.1074/jbc.m117.809657 - Evolutionary BiologybioRxiv
Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with polynomial functions
Y. zhou, K. Yuan, Y. Yu…·S. Xu
This study introduces iMAAPs, a method to infer multiple-wave population admixture by modeling ALD decay with polynomial functions, showing improved performance over existing methods.
DOI 10.1038/hdy.2017.5