Feng Luo to Gene Expression Profiling
This is a "connection" page, showing publications Feng Luo has written about Gene Expression Profiling.
Connection Strength
1.106
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Identifying differentially expressed genes in cancer patients using a non-parameter Ising model. Proteomics. 2011 Oct; 11(19):3845-52.
Score: 0.315
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Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory. BMC Bioinformatics. 2007 Aug 14; 8:299.
Score: 0.238
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Application of random matrix theory to microarray data for discovering functional gene modules. Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Mar; 73(3 Pt 1):031924.
Score: 0.217
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Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. Bioinformatics. 2015 Feb 15; 31(4):462-70.
Score: 0.096
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Massive-scale gene co-expression network construction and robustness testing using random matrix theory. PLoS One. 2013; 8(2):e55871.
Score: 0.087
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Conserved non-coding regulatory signatures in Arabidopsis co-expressed gene modules. PLoS One. 2012; 7(9):e45041.
Score: 0.085
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Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. Plant Cell. 2019 09; 31(9):1968-1989.
Score: 0.034
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A new reference genome for Sorghum bicolor reveals high levels of sequence similarity between sweet and grain genotypes: implications for the genetics of sugar metabolism. BMC Genomics. 2019 May 27; 20(1):420.
Score: 0.034