Connection
Brooke Fridley to Genomics
This is a "connection" page, showing publications Brooke Fridley has written about Genomics.
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Connection Strength |
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2.001 |
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Abbas-Aghababazadeh F, Mo Q, Fridley BL. Statistical genomics in rare cancer. Semin Cancer Biol. 2020 04; 61:1-10.
Score: 0.626
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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: 0.492
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Chalise P, Ni Y, Fridley BL. Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorization. Comput Biol Med. 2020 03; 118:103625.
Score: 0.161
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Abbas-Aghababazadeh F, Lu P, Fridley BL. Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell lines. Sci Rep. 2019 10 08; 9(1):14421.
Score: 0.158
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Koestler DC, Chalise P, Cicek MS, Cunningham JM, Armasu S, Larson MC, Chien J, Block M, Kalli KR, Sellers TA, Fridley BL, Goode EL. Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer. BMC Med Genomics. 2014 Jan 30; 7:8.
Score: 0.106
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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: 0.103
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Fridley BL, Lund S, Jenkins GD, Wang L. A Bayesian integrative genomic model for pathway analysis of complex traits. Genet Epidemiol. 2012 May; 36(4):352-9.
Score: 0.094
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Hebbring SJ, Chai Y, Ji Y, Abo RP, Jenkins GD, Fridley B, Zhang J, Eckloff BW, Wieben ED, Weinshilboum RM. Serine hydroxymethyltransferase 1 and 2: gene sequence variation and functional genomic characterization. J Neurochem. 2012 Mar; 120(6):881-90.
Score: 0.093
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Laajala TD, Sreekanth V, Soupir AC, Creed JH, Halkola AS, Calboli FCF, Singaravelu K, Orman MV, Colin-Leitzinger C, Gerke T, Fridley BL, Tyekucheva S, Costello JC. A harmonized resource of integrated prostate cancer clinical, -omic, and signature features. Sci Data. 2023 07 05; 10(1):430.
Score: 0.051
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Chalise P, Kwon D, Fridley BL, Mo Q. Statistical Methods for Integrative Clustering of Multi-omics Data. Methods Mol Biol. 2023; 2629:73-93.
Score: 0.049
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Eschrich SA, Teer JK, Reisman P, Siegel E, Challa C, Lewis P, Fellows K, Malpica E, Carvajal R, Gonzalez G, Cukras S, Betin-Montes M, Aden-Buie G, Avedon M, Manning D, Tan AC, Fridley BL, Gerke T, Van Looveren M, Blake A, Greenman J, Rollison DE. Enabling Precision Medicine in Cancer Care Through a Molecular Data Warehouse: The Moffitt Experience. JCO Clin Cancer Inform. 2021 05; 5:561-569.
Score: 0.044
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Ji Y, Nordgren KK, Chai Y, Hebbring SJ, Jenkins GD, Abo RP, Peng Y, Pelleymounter LL, Moon I, Eckloff BW, Chai X, Zhang J, Fridley BL, Yee VC, Wieben ED, Weinshilboum RM. Human liver methionine cycle: MAT1A and GNMT gene resequencing, functional genomics, and hepatic genotype-phenotype correlation. Drug Metab Dispos. 2012 Oct; 40(10):1984-92.
Score: 0.024
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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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