 Connection
Brooke Fridley to Computer Simulation
This is a "connection" page, showing publications Brooke Fridley has written about Computer Simulation.
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Connection Strength |
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1.489 |
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Chalise P, Raghavan R, Fridley BL. InterSIM: Simulation tool for multiple integrative 'omic datasets'. Comput Methods Programs Biomed. 2016 May; 128:69-74.
Score: 0.540
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Chalise P, Fridley BL. Integrative clustering of multi-level 'omic data based on non-negative matrix factorization algorithm. PLoS One. 2017; 12(5):e0176278.
Score: 0.147
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Fridley BL, Jenkins GD, Grill DE, Kennedy RB, Poland GA, Oberg AL. Soft truncation thresholding for gene set analysis of RNA-seq data: application to a vaccine study. Sci Rep. 2013 Oct 09; 3:2898.
Score: 0.114
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Brisbin A, Fridley BL. Bayseian genomic models for the incorporation of pathway topology knowledge into association studies. Stat Appl Genet Mol Biol. 2013 Aug; 12(4):505-16.
Score: 0.113
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Chalise P, Batzler A, Abo R, Wang L, Fridley BL. Simultaneous analysis of multiple data types in pharmacogenomic studies using weighted sparse canonical correlation analysis. OMICS. 2012 Jul-Aug; 16(7-8):363-73.
Score: 0.105
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Breheny P, Chalise P, Batzler A, Wang L, Fridley BL. Genetic association studies of copy-number variation: should assignment of copy number states precede testing? PLoS One. 2012; 7(4):e34262.
Score: 0.103
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Biernacka JM, Jenkins GD, Wang L, Moyer AM, Fridley BL. Use of the gamma method for self-contained gene-set analysis of SNP data. Eur J Hum Genet. 2012 May; 20(5):565-71.
Score: 0.101
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Fridley BL, Jenkins GD, Biernacka JM. Self-contained gene-set analysis of expression data: an evaluation of existing and novel methods. PLoS One. 2010 Sep 17; 5(9).
Score: 0.093
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Fridley BL, de Andrade M. Missing phenotype data imputation in pedigree data analysis. Genet Epidemiol. 2008 Jan; 32(1):52-60.
Score: 0.077
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Fridley B, Rabe K, de Andrade M. Imputation methods for missing data for polygenic models. BMC Genet. 2003 Dec 31; 4 Suppl 1:S42.
Score: 0.058
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Liu G, Mukherjee B, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Rossing MA, Moysich KB, Chang-Claude J, Doherty JA, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley BL, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Pearce CL. Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol. 2018 02 01; 187(2):366-377.
Score: 0.039
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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