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  1. Article

    Open Access

    scFSNN: a feature selection method based on neural network for single-cell RNA-seq data

    While single-cell RNA sequencing (scRNA-seq) allows researchers to analyze gene expression in individual cells, its unique characteristics like over-dispersion, zero-inflation, high gene-gene correlation, and ...

    Minjiao Peng, Baoqin Lin, Jun Zhang, Yan Zhou, Bingqing Lin in BMC Genomics (2024)

  2. No Access

    Article

    Protective Role of Endothelial SIRT1 in Deep Vein Thrombosis and Hypoxia-induced Endothelial Dysfunction Mediated by NF-κB Deacetylation

    Venous hypoxia is considered as the major pathogenetic mechanism linking blood flow stagnancy with deep vein thrombosis (DVT). Our previous study showed that activating SIRT1 may attenuate inferior vena cava (...

    ** Tang, Yiting Wang, **nrong Yang, Zhongrui Wu, Wenpei Chen, Yuxin Ye in Inflammation (2023)

  3. No Access

    Article

    Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models

    We propose a kernel density based estimation for multiplicative linear regression models. The method proposed in this article makes use of kernel smoothing nonparametric techniques to estimate the unknown dens...

    Jun Zhang, Bingqing Lin, Yi** Yang in Statistical Papers (2022)

  4. No Access

    Article

    Aqueous extract of Whitmania pigra Whitman ameliorates ferric chloride-induced venous thrombosis in rats via antioxidation

    Whitmania pigra Whitman (W. pigra) has been widely employed in decoction for the treatment of blood stasis syndrome for many years in China. The aim of the present study was to explore the anti-venous thrombosis ...

    Peng Li, Bingqing Lin, ** Tang, Yuxin Ye in Journal of Thrombosis and Thrombolysis (2021)

  5. No Access

    Chapter

    Smart Building Sensor Drift Calibration

    In modern smart buildings, the temperature measurement is crucial for smart temperature management implemented by a cyber-physical system (CPS). However, sensor drift emerges during the measurement and becomes...

    Tinghuan Chen, Bingqing Lin, Hao Geng in Big Data Analytics for Cyber-Physical Syst… (2020)

  6. Article

    Open Access

    A statistical normalization method and differential expression analysis for RNA-seq data between different species

    High-throughput techniques bring novel tools and also statistical challenges to genomic research. Identifying genes with differential expression between different species is an effective way to discover evolut...

    Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin in BMC Bioinformatics (2019)

  7. Article

    Open Access

    Stability of methods for differential expression analysis of RNA-seq data

    As RNA-seq becomes the assay of choice for measuring gene expression levels, differential expression analysis has received extensive attentions of researchers. To date, for the evaluation of DE methods, most a...

    Bingqing Lin, Zhen Pang in BMC Genomics (2019)

  8. No Access

    Article

    Stable prediction in high-dimensional linear models

    We propose a Random Splitting Model Averaging procedure, RSMA, to achieve stable predictions in high-dimensional linear models. The idea is to use split training data to construct and estimate candidate models...

    Bingqing Lin, Qihua Wang, Jun Zhang, Zhen Pang in Statistics and Computing (2017)

  9. Article

    Open Access

    High-resolution RNA alleloty** along the inactive X chromosome: evidence of RNA polymerase III in regulating chromatin configuration

    We carried out padlock capture, a high-resolution RNA alleloty** method, to study X chromosome inactivation (XCI). We examined the gene reactivation pattern along the inactive X (**), after **st (X-inactive spe...

    Ru Hong, Bingqing Lin, **nyi Lu, Lan-Tian Lai, **n Chen in Scientific Reports (2017)

  10. Article

    Open Access

    LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data

    With the advances in high-throughput DNA sequencing technologies, RNA-seq has rapidly emerged as a powerful tool for the quantitative analysis of gene expression and transcript variant discovery. In comparativ...

    Bingqing Lin, Li-Feng Zhang, **n Chen in BMC Genomics (2014)