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  1. Article

    Open Access

    Guided construction of single cell reference for human and mouse lung

    Accurate cell type identification is a key and rate-limiting step in single-cell data analysis. Single-cell references with comprehensive cell types, reproducible and functionally validated cell identities, an...

    Minzhe Guo, Michael P. Morley, Cheng Jiang, Yixin Wu, Guangyuan Li in Nature Communications (2023)

  2. Article

    Open Access

    Single cell RNA analysis identifies cellular heterogeneity and adaptive responses of the lung at birth

    The respiratory system undergoes a diversity of structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify the heterogeneity of pulmonary cell types and dyn...

    Minzhe Guo, Yina Du, Jason J. Gokey, Samriddha Ray, Sheila M. Bell in Nature Communications (2019)

  3. Article

    Open Access

    Cell type-resolved human lung lipidome reveals cellular cooperation in lung function

    Cell type-resolved proteome analyses of the brain, heart and liver have been reported, however a similar effort on the lipidome is currently lacking. Here we applied liquid chromatography-tandem mass spectrome...

    Jennifer E. Kyle, Geremy Clair, Gautam Bandyopadhyay, Ravi S. Misra in Scientific Reports (2018)

  4. Article

    Open Access

    Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity

    Amniotic fluid (AF) is a proximal fluid to the fetus containing higher amounts of cell-free fetal RNA/DNA than maternal serum, thereby making it a promising source for identifying novel biomarkers that predict...

    Beena D. Kamath-Rayne, Yina Du, Maria Hughes, Erin A. Wagner in BMC Medical Genomics (2015)

  5. No Access

    Chapter and Conference Paper

    A Novel Global Hybrid Algorithm for Feedforward Neural Networks

    A novel global optimization hybrid algorithm was presented for training neural networks in this paper. During the course of neural networks training, when the weights are being adjusted with Quasi-Newton(QN) m...

    Hongru Li, Hailong Li, Yina Du in Advances in Neural Networks – ISNN 2007 (2007)

  6. No Access

    Chapter and Conference Paper

    A Global Optimization Algorithm Based on Novel Interval Analysis for Training Neural Networks

    A global optimal algorithm based on novel interval analysis was proposed for Feedforward neural networks (FNN). When FNN are trained with BP algorithm, there exists some local minimal points in error function,...

    Hongru Li, Hailong Li, Yina Du in Advances in Computation and Intelligence (2007)