Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Guoya Li"'
Publikováno v:
Archives of Civil Engineering, Vol vol. 68, Iss No 4, Pp 653-667 (2022)
Time series models have been used to extract damage features in the measured structural response. In order to better extract the sensitive features in the signal and detect structural damage, this paper proposes a damage identification method that co
Externí odkaz:
https://doaj.org/article/76c1d20a733c46c28918d02fb085b5a3
Publikováno v:
Tropical Journal of Pharmaceutical Research. Oct2018, Vol. 17 Issue 11, p2309-2316. 8p.
Publikováno v:
Tropical Journal of Pharmaceutical Research; Vol 17, No 11 (2018); 2309-2316
Ferroptosis is a newly discovered process of cell death that differs from apoptosis, autophagy, and pyroptosis. It is closely related to tumor formation, diseases that damage tissue, and neurodegenerative diseases. Activation of the extracellular reg
Autor:
Gaurav S J B, Rana, Timothy P, York, Jeffery S, Edmiston, Barbara K, Zedler, Joel G, Pounds, Joshua N, Adkins, Susan M, Varnum, Richard D, Smith, Zaigang, Liu, Guoya, Li, Bradley T, Webb, Edward L, Murrelle, Jason W, Flora
Publikováno v:
Analytical and Bioanalytical Chemistry. 397:1809-1819
Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of morbidity and mortality in the United States and cigarette smoking is a primary determinant of the disease. COPD is characterized by chronic airflow limitation as measured by
Autor:
Jason W. Flora, Timothy B. Langston, Willie J. McKinney, Gaurav S. J. B. Rana, Guoya Li, Rebecca Secrist, Jeff Edmiston
Publikováno v:
Analytical and Bioanalytical Chemistry. 391:2845-2856
Secreted proteins, the secretome, can be isolated from biological fluids (e.g., blood) and are often responsible for the regulation of biological processes such as cell signaling, growth, and apoptosis. The identification of secreted proteins can lea
Autor:
Alessandra C, Cervino, Guoya, Li, Steve, Edwards, Jun, Zhu, Cathy, Laurie, George, Tokiwa, Pek Yee, Lum, Susanna, Wang, Lawrence W, Castellani, Lawrence W, Castellini, Aldons J, Lusis, Sonia, Carlson, Alan B, Sachs, Eric E, Schadt
Publikováno v:
Genomics. 86:505-517
The use of inbred strains of mice to dissect the genetic complexity of common diseases offers a viable alternative to human studies, given the control over experimental parameters that can be exercised. Central to efforts to map susceptibility loci f
Autor:
Barbara K. Zedler, Andrew R Joyce, Yankai Jia, Daniel E. Adkins, Hailong Meng, E Lenn Murrelle, Edwin J. C. G. van den Oord, Tapas K. Sengupta, Guoya Li, Priyadarshi Basu
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 227 (2010)
BMC Bioinformatics
BMC Bioinformatics
Background High-throughput DNA methylation arrays are likely to accelerate the pace of methylation biomarker discovery for a wide variety of diseases. A potential problem with a standard set of probes measuring the methylation status of CpG sites acr
Autor:
Gaurav S. J. B. Rana, Guoya Li, Jason W. Flora, Willie J. McKinney, Timothy B. Langston, Jeffery S. Edmiston, Mariano J. Scian, Tapas K. Sengupta
Publikováno v:
Analytical and bioanalytical chemistry. 394(6)
Phosphorylation is the most widely studied posttranslational modification (PTM) and is an important regulatory mechanism used during cellular responses to external stimuli. The kinases and phosphatases that regulate protein phosphorylation are known
Autor:
Aldons J. Lusis, Eric E. Schadt, Lawrence W. Castellani, Jun Zhu, George Tokiwa, Susanna Wang, Alan B. Sachs, Alessandra C. L. Cervino, Steve Edwards, Pek Yee Lum, Cathy Laurie, Guoya Li, Sonia Carlson
Publikováno v:
Genomics. 93(4)
Corrigendum to “Integrating QTL and high-density SNP analyses in mice to identify Insig2 as a susceptibility gene for plasma cholesterol levels” [Genomics 86 (2005) 505–517]☆ Alessandra C. Cervino , Guoya Li , Steve Edwards , Jun Zhu , Cathy
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 9, Iss 1, p 457 (2008)
BMC Bioinformatics, Vol 9, Iss 1, p 457 (2008)
Background DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biom