 Connection
Katerina Kechris to Gene Expression Profiling
This is a "connection" page, showing publications Katerina Kechris has written about Gene Expression Profiling.
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Connection Strength |
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1.866 |
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Gillenwater LA, Helmi S, Stene E, Pratte KA, Zhuang Y, Schuyler RP, Lange L, Castaldi PJ, Hersh CP, Banaei-Kashani F, Bowler RP, Kechris KJ. Multi-omics subtyping pipeline for chronic obstructive pulmonary disease. PLoS One. 2021; 16(8):e0255337.
Score: 0.451
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Siska C, Kechris K. Differential correlation for sequencing data. BMC Res Notes. 2017 Jan 19; 10(1):54.
Score: 0.328
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Siewert E, Kechris KJ. Modeling considerations for using expression data from multiple species. Stat Med. 2013 Oct 15; 32(23):4057-70.
Score: 0.254
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Kechris KJ, Biehs B, Kornberg TB. Generalizing moving averages for tiling arrays using combined p-value statistics. Stat Appl Genet Mol Biol. 2010; 9:Article29.
Score: 0.210
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Zhuang YH, Wade K, Saba LM, Kechris K. Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis. Math Biosci Eng. 2019 09 26; 17(1):122-143.
Score: 0.099
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Larson ED, Magno JPM, Steritz MJ, Llanes EGDV, Cardwell J, Pedro M, Roberts TB, Einarsdottir E, Rosanes RAQ, Greenlee C, Santos RAP, Yousaf A, Streubel SO, Santos ATR, Ruiz AG, Lagrana-Villagracia SM, Ray D, Yarza TKL, Scholes MA, Anderson CB, Acharya A, Gubbels SP, Bamshad MJ, Cass SP, Lee NR, Shaikh RS, Nickerson DA, Mohlke KL, Prager JD, Cruz TLG, Yoon PJ, Abes GT, Schwartz DA, Chan AL, Wine TM, Cutiongco-de la Paz EM, Friedman N, Kechris K, Kere J, Leal SM, Yang IV, Patel JA, Tantoco MLC, Riazuddin S, Chan KH, Mattila PS, Reyes-Quintos MRT, Ahmed ZM, Jenkins HA, Chonmaitree T, Hafr?n L, Chiong CM, Santos-Cortez RLP. A2ML1 and otitis media: novel variants, differential expression, and relevant pathways. Hum Mutat. 2019 08; 40(8):1156-1171.
Score: 0.096
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Lyu Y, Xue L, Zhang F, Koch H, Saba L, Kechris K, Li Q. Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network. PLoS Comput Biol. 2018 09; 14(9):e1006436.
Score: 0.092
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De S, Pedersen BS, Kechris K. The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment. Brief Bioinform. 2014 Nov; 15(6):919-28.
Score: 0.065
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Hoffman PL, Bennett B, Saba LM, Bhave SV, Carosone-Link PJ, Hornbaker CK, Kechris KJ, Williams RW, Tabakoff B. Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes. Addict Biol. 2011 Jul; 16(3):393-404.
Score: 0.053
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Kechris K, Yang YH, Yeh RF. Prediction of alternatively skipped exons and splicing enhancers from exon junction arrays. BMC Genomics. 2008 Nov 20; 9:551.
Score: 0.047
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Lusk R, Stene E, Banaei-Kashani F, Tabakoff B, Kechris K, Saba LM. Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence. Nat Commun. 2021 03 12; 12(1):1652.
Score: 0.027
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Guo K, Shen G, Kibbie J, Gonzalez T, Dillon SM, Smith HA, Cooper EH, Lavender K, Hasenkrug KJ, Sutter K, Dittmer U, Kroehl M, Kechris K, Wilson CC, Santiago ML. Qualitative Differences Between the IFNa subtypes and IFN? Influence Chronic Mucosal HIV-1 Pathogenesis. PLoS Pathog. 2020 10; 16(10):e1008986.
Score: 0.027
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Cicchini L, Blumhagen RZ, Westrich JA, Myers ME, Warren CJ, Siska C, Raben D, Kechris KJ, Pyeon D. High-Risk Human Papillomavirus E7 Alters Host DNA Methylome and Represses HLA-E Expression in Human Keratinocytes. Sci Rep. 2017 06 16; 7(1):3633.
Score: 0.021
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Walter ND, Miller MA, Vasquez J, Weiner M, Chapman A, Engle M, Higgins M, Quinones AM, Rosselli V, Canono E, Yoon C, Cattamanchi A, Davis JL, Phang T, Stearman RS, Datta G, Garcia BJ, Daley CL, Strong M, Kechris K, Fingerlin TE, Reves R, Geraci MW. Blood Transcriptional Biomarkers for Active Tuberculosis among Patients in the United States: a Case-Control Study with Systematic Cross-Classifier Evaluation. J Clin Microbiol. 2016 Feb; 54(2):274-82.
Score: 0.019
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Bradford AP, Jones K, Kechris K, Chosich J, Montague M, Warren WC, May MC, Al-Safi Z, Kuokkanen S, Appt SE, Polotsky AJ. Joint MiRNA/mRNA expression profiling reveals changes consistent with development of dysfunctional corpus luteum after weight gain. PLoS One. 2015; 10(8):e0135163.
Score: 0.019
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Hoffman PL, Saba LM, Flink S, Grahame NJ, Kechris K, Tabakoff B. Genetics of gene expression characterizes response to selective breeding for alcohol preference. Genes Brain Behav. 2014 Nov; 13(8):743-57.
Score: 0.017
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Vanderlinden LA, Saba LM, Kechris K, Miles MF, Hoffman PL, Tabakoff B. Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumption. PLoS One. 2013; 8(7):e68878.
Score: 0.016
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Bennett B, Saba LM, Hornbaker CK, Kechris KJ, Hoffman P, Tabakoff B. Genetical genomic analysis of complex phenotypes using the PhenoGen website. Behav Genet. 2011 Jul; 41(4):625-8.
Score: 0.013
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Tabakoff B, Saba L, Printz M, Flodman P, Hodgkinson C, Goldman D, Koob G, Richardson HN, Kechris K, Bell RL, H?bner N, Heinig M, Pravenec M, Mangion J, Legault L, Dongier M, Conigrave KM, Whitfield JB, Saunders J, Grant B, Hoffman PL. Genetical genomic determinants of alcohol consumption in rats and humans. BMC Biol. 2009 Oct 27; 7:70.
Score: 0.012
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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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