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  1. Article

    Open Access

    Structure-based prediction and characterization of photo-crosslinking in native protein–RNA complexes

    UV-crosslinking of protein and RNA in direct contacts has been widely used to study protein-RNA complexes while our understanding of the photo-crosslinking mechanisms remains poor. This knowledge gap is due to...

    Huijuan Feng, **ang-Jun Lu, Suvrajit Maji, Linxi Liu in Nature Communications (2024)

  2. Article

    Correction: Results of Immediate Postpartum Long Acting Reversible Contraception Provision After Expanded Reimbursement Policy Implementation at an Academic Medical Institution

    Brooke A. Levandowski, Theresa Green, Linxi Liu in Maternal and Child Health Journal (2023)

  3. No Access

    Article

    Results of Immediate Postpartum Long Acting Reversible Contraception Provision After Expanded Reimbursement Policy Implementation at an Academic Medical Institution

    Immediate postpartum (IPP) Long Acting Reversible Contraception (LARC) is effective in reducing short birth spacing, which is highest among minoritized and younger women with lower socioeconomic status. The st...

    Brooke A. Levandowski, Theresa Green, Linxi Liu in Maternal and Child Health Journal (2023)

  4. No Access

    Article

    Optimizing 304 Stainless Steel Surface Performance with CoCrFeMoNi High-Entropy Alloy Coating via Gas Tungsten Arc Cladding

    CoCrFeMoNi high entropy alloy (HEA) coatings were fabricated on the surface of the 304 stainless steel (304SS) via argon tungsten arc cladding process. The microstructure, micro-hardness and tribological perfo...

    Ning Liu, Zhou Lan, Linxi Liu, **jie Dou in Journal of Materials Engineering and Perfo… (2023)

  5. No Access

    Article

    CARMA is a new Bayesian model for fine-map** in genome-wide association meta-analyses

    Fine-map** is commonly used to identify putative causal variants at genome-wide significant loci. Here we propose a Bayesian model for fine-map** that has several advantages over existing methods, includin...

    Zikun Yang, Chen Wang, Linxi Liu, Atlas Khan, Annie Lee in Nature Genetics (2023)

  6. Article

    Open Access

    BIGKnock: fine-map** gene-based associations via knockoff analysis of biobank-scale data

    We propose BIGKnock (BIobank-scale Gene-based association test via Knockoffs), a computationally efficient gene-based testing approach for biobank-scale data, that leverages long-range chromatin interaction da...

    Shiyang Ma, Chen Wang, Atlas Khan, Linxi Liu, James Dalgleish in Genome Biology (2023)

  7. Article

    Open Access

    GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies

    Recent advances in genome sequencing and imputation technologies provide an exciting opportunity to comprehensively study the contribution of genetic variants to complex phenotypes. However, our ability to tra...

    Zihuai He, Linxi Liu, Michael E. Belloy, Yann Le Guen in Nature Communications (2022)

  8. Article

    Open Access

    Comprehensive analysis of lncRNA-mRNAs co-expression network identifies potential lncRNA biomarkers in cutaneous squamous cell carcinoma

    Cutaneous squamous cell carcinoma (cSCC) is the second most common type of skin cancer, the prognosis for patients with metastatic cSCC remains relatively poor. Thus, there is an urgent need to identify new di...

    Yu Hu, Rong Li, Hongyin Chen, Lihao Chen, Xuyue Zhou, Linxi Liu, Mei Ju in BMC Genomics (2022)

  9. Article

    Open Access

    Identification of putative causal loci in whole-genome sequencing data via knockoff statistics

    The analysis of whole-genome sequencing studies is challenging due to the large number of rare variants in noncoding regions and the lack of natural units for testing. We propose a statistical method to detect...

    Zihuai He, Linxi Liu, Chen Wang, Yann Le Guen, Justin Lee in Nature Communications (2021)

  10. Article

    Open Access

    A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs

    Predicting the functional consequences of genetic variants in non-coding regions is a challenging problem. We propose here a semi-supervised approach, GenoNet, to jointly utilize experimentally confirmed regul...

    Zihuai He, Linxi Liu, Kai Wang, Iuliana Ionita-Laza in Nature Communications (2018)

  11. No Access

    Article

    Observations on potential novel transcripts from RNA-Seq data

    With the rapid development of next generation deep sequencing technologies, sequencing cDNA reverse-transcribed from RNA molecules (RNA-Seq) has become a key approach in studying gene expression and transcript...

    Chao Ye, Linxi Liu, ** Wang, Xuegong Zhang in Frontiers of Electrical and Electronic Eng… (2011)