User profiles for Youping Deng
 | Youping DengUniversity of Hawaii Verified email at hawaii.edu Cited by 11861 |
Risk factors associated with clinical outcomes in 323 coronavirus disease 2019 (COVID-19) hospitalized patients in Wuhan, China
Background With evidence of sustained transmission in more than 190 countries, coronavirus
disease 2019 (COVID-19) has been declared a global pandemic. Data are urgently …
disease 2019 (COVID-19) has been declared a global pandemic. Data are urgently …
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
The concordance of RNA-sequencing (RNA-seq) with microarrays for genome-wide analysis
of differential gene expression has not been rigorously assessed using a range of chemical …
of differential gene expression has not been rigorously assessed using a range of chemical …
[PDF][PDF] A global metagenomic map of urban microbiomes and antimicrobial resistance
…, RW Crawford, F De Filippis, Y Deng… - Cell, 2021 - cell.com
We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60
cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial …
cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial …
COVID-19 drug practices risk antimicrobial resistance evolution
…, A Burguete-García, E Castro-Nallar, Y Deng… - The Lancet …, 2021 - thelancet.com
Antimicrobial resistance is one of the biggest challenges facing modern medicine. Because
the management of COVID-19 is increasingly becoming dependent on pharmacological …
the management of COVID-19 is increasingly becoming dependent on pharmacological …
[HTML][HTML] Global lipidomics identified plasma lipids as novel biomarkers for early detection of lung cancer
…, JA Borgia, JS Yang, J Zhang, B Jiang, W Gu, Y Deng - Oncotarget, 2017 - ncbi.nlm.nih.gov
… Borgia, 4 Jin-Song Yang, 5 Jicai Zhang, 1 Bin Jiang, 3 Wei Gu, 6 and Youping Deng 3, 1,
7 … This project was supported by the NIH grant (1R21 CA164764), Bears Care …
7 … This project was supported by the NIH grant (1R21 CA164764), Bears Care …
[HTML][HTML] Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
Background Gene expression profiling is being widely applied in cancer research to identify
biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for …
biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for …
[HTML][HTML] Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
Background Due to the high cost and low reproducibility of many microarray experiments, it
is not surprising to find a limited number of patient samples in each study, and very few …
is not surprising to find a limited number of patient samples in each study, and very few …
[HTML][HTML] A comparative study of different machine learning methods on microarray gene expression data
Background Several classification and feature selection methods have been studied for the
identification of differentially expressed genes in microarray data. Classification methods …
identification of differentially expressed genes in microarray data. Classification methods …
[HTML][HTML] Identification of plasma lipid biomarkers for prostate cancer by lipidomics and bioinformatics
Background Lipids have critical functions in cellular energy storage, structure and signaling.
Many individual lipid molecules have been associated with the evolution of prostate cancer; …
Many individual lipid molecules have been associated with the evolution of prostate cancer; …
[HTML][HTML] Incremental genetic K-means algorithm and its application in gene expression data analysis
Background In recent years, clustering algorithms have been effectively applied in molecular
biology for gene expression data analysis. With the help of clustering algorithms such as K-…
biology for gene expression data analysis. With the help of clustering algorithms such as K-…