 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Russell Bowler and Katerina Kechris.
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Connection Strength |
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5.108 |
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Bowler RP, Jacobson S, Cruickshank C, Hughes GJ, Siska C, Ory DS, Petrache I, Schaffer JE, Reisdorph N, Kechris K. Plasma sphingolipids associated with chronic obstructive pulmonary disease phenotypes. Am J Respir Crit Care Med. 2015 Feb 01; 191(3):275-84.
Score: 0.507
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Bowler RP, Bahr TM, Hughes G, Lutz S, Kim YI, Coldren CD, Reisdorph N, Kechris KJ. Integrative omics approach identifies interleukin-16 as a biomarker of emphysema. OMICS. 2013 Dec; 17(12):619-26.
Score: 0.463
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Hill AC, Guo C, Litkowski EM, Manichaikul AW, Yu B, Konigsberg IR, Gorbet BA, Lange LA, Pratte KA, Kechris KJ, DeCamp M, Coors M, Ortega VE, Rich SS, Rotter JI, Gerzsten RE, Clish CB, Curtis JL, Hu X, Obeidat ME, Morris M, Loureiro J, Ngo D, O'Neal WK, Meyers DA, Bleecker ER, Hobbs BD, Cho MH, Banaei-Kashani F, Bowler RP. Large scale proteomic studies create novel privacy considerations. Sci Rep. 2023 06 07; 13(1):9254.
Score: 0.226
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Zhuang Y, Xing F, Ghosh D, Hobbs BD, Hersh CP, Banaei-Kashani F, Bowler RP, Kechris K. Deep learning on graphs for multi-omics classification of COPD. PLoS One. 2023; 18(4):e0284563.
Score: 0.224
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Vu T, Litkowski EM, Liu W, Pratte KA, Lange L, Bowler RP, Banaei-Kashani F, Kechris KJ. NetSHy: network summarization via a hybrid approach leveraging topological properties. Bioinformatics. 2023 01 01; 39(1).
Score: 0.219
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Godbole S, Labaki WW, Pratte KA, Hill A, Moll M, Hastie AT, Peters SP, Gregory A, Ortega VE, DeMeo D, Cho MH, Bhatt SP, Wells JM, Barjaktarevic I, Stringer KA, Comellas A, O'Neal W, Kechris K, Bowler RP. A Metabolomic Severity Score for Airflow Obstruction and Emphysema. Metabolites. 2022 Apr 19; 12(5).
Score: 0.209
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Zhuang Y, Xing F, Ghosh D, Banaei-Kashani F, Bowler RP, Kechris K. An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning. Front Genet. 2021; 12:760299.
Score: 0.206
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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: 0.200
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Pratte KA, Curtis JL, Kechris K, Couper D, Cho MH, Silverman EK, DeMeo DL, Sciurba FC, Zhang Y, Ortega VE, O'Neal WK, Gillenwater LA, Lynch DA, Hoffman EA, Newell JD, Comellas AP, Castaldi PJ, Miller BE, Pouwels SD, Hacken NHTT, Bischoff R, Klont F, Woodruff PG, Paine R, Barr RG, Hoidal J, Doerschuk CM, Charbonnier JP, Sung R, Locantore N, Yonchuk JG, Jacobson S, Tal-Singer R, Merrill D, Bowler RP. Soluble receptor for advanced glycation end products (sRAGE) as a biomarker of COPD. Respir Res. 2021 Apr 27; 22(1):127.
Score: 0.195
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Gillenwater LA, Kechris KJ, Pratte KA, Reisdorph N, Petrache I, Labaki WW, O'Neal W, Krishnan JA, Ortega VE, DeMeo DL, Bowler RP. Metabolomic Profiling Reveals Sex Specific Associations with Chronic Obstructive Pulmonary Disease and Emphysema. Metabolites. 2021 Mar 11; 11(3).
Score: 0.193
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Gillenwater LA, Pratte KA, Hobbs BD, Cho MH, Zhuang Y, Halper-Stromberg E, Cruickshank-Quinn C, Reisdorph N, Petrache I, Labaki WW, O'Neal WK, Ortega VE, Jones DP, Uppal K, Jacobson S, Michelotti G, Wendt CH, Kechris KJ, Bowler RP. Plasma Metabolomic Signatures of Chronic Obstructive Pulmonary Disease and the Impact of Genetic Variants on Phenotype-Driven Modules. Netw Syst Med. 2020 Dec 01; 3(1):159-181.
Score: 0.190
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Mastej E, Gillenwater L, Zhuang Y, Pratte KA, Bowler RP, Kechris K. Identifying Protein-metabolite Networks Associated with COPD Phenotypes. Metabolites. 2020 Mar 25; 10(4).
Score: 0.181
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Halper-Stromberg E, Gillenwater L, Cruickshank-Quinn C, O'Neal WK, Reisdorph N, Petrache I, Zhuang Y, Labaki WW, Curtis JL, Wells J, Rennard S, Pratte KA, Woodruff P, Stringer KA, Kechris K, Bowler RP. Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma. Metabolites. 2019 Jul 25; 9(8).
Score: 0.173
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Bradford E, Jacobson S, Varasteh J, Comellas AP, Woodruff P, O'Neal W, DeMeo DL, Li X, Kim V, Cho M, Castaldi PJ, Hersh C, Silverman EK, Crapo JD, Kechris K, Bowler RP. The value of blood cytokines and chemokines in assessing COPD. Respir Res. 2017 10 24; 18(1):180.
Score: 0.153
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Reinhold D, Morrow JD, Jacobson S, Hu J, Ringel B, Seibold MA, Hersh CP, Kechris KJ, Bowler RP. Meta-analysis of peripheral blood gene expression modules for COPD phenotypes. PLoS One. 2017; 12(10):e0185682.
Score: 0.153
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Zemans RL, Jacobson S, Keene J, Kechris K, Miller BE, Tal-Singer R, Bowler RP. Multiple biomarkers predict disease severity, progression and mortality in COPD. Respir Res. 2017 06 13; 18(1):117.
Score: 0.149
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Miller MA, Danhorn T, Cruickshank-Quinn CI, Leach SM, Jacobson S, Strand MJ, Reisdorph NA, Bowler RP, Petrache I, Kechris K. Gene and metabolite time-course response to cigarette smoking in mouse lung and plasma. PLoS One. 2017; 12(6):e0178281.
Score: 0.149
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Siska C, Bowler R, Kechris K. The discordant method: a novel approach for differential correlation. Bioinformatics. 2017 01 01; 33(1):150.
Score: 0.144
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Siska C, Bowler R, Kechris K. The discordant method: a novel approach for differential correlation. Bioinformatics. 2016 03 01; 32(5):690-6.
Score: 0.133
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Carolan BJ, Hughes G, Morrow J, Hersh CP, O'Neal WK, Rennard S, Pillai SG, Belloni P, Cockayne DA, Comellas AP, Han M, Zemans RL, Kechris K, Bowler RP. The association of plasma biomarkers with computed tomography-assessed emphysema phenotypes. Respir Res. 2014 Oct 12; 15:127.
Score: 0.124
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Hughes G, Cruickshank-Quinn C, Reisdorph R, Lutz S, Petrache I, Reisdorph N, Bowler R, Kechris K. MSPrep--summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data. Bioinformatics. 2014 Jan 01; 30(1):133-4.
Score: 0.116
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Carolan BJ, Kim YI, Williams AA, Kechris K, Lutz S, Reisdorph N, Bowler RP. The association of adiponectin with computed tomography phenotypes in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013 Sep 01; 188(5):561-6.
Score: 0.115
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Bahr TM, Hughes GJ, Armstrong M, Reisdorph R, Coldren CD, Edwards MG, Schnell C, Kedl R, LaFlamme DJ, Reisdorph N, Kechris KJ, Bowler RP. Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease. Am J Respir Cell Mol Biol. 2013 Aug; 49(2):316-23.
Score: 0.114
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Wieder C, Cooke J, Frainay C, Poupin N, Bowler R, Jourdan F, Kechris KJ, Lai RP, Ebbels T. PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration. bioRxiv. 2024 Jan 09.
Score: 0.059
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Carpenter CM, Gillenwater L, Bowler R, Kechris K, Ghosh D. TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes. BMC Bioinformatics. 2023 Oct 25; 24(1):398.
Score: 0.058
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Hussein S, Vu T, Lange L, Bowler RP, Kechris KJ, Banaei-Kashani F. Effective Subject Representation based on Multi-omics Disease Networks using Graph Embedding. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2022 Dec; 2022:1911-1918.
Score: 0.054
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Abdel-Hafiz M, Najafi M, Helmi S, Pratte KA, Zhuang Y, Liu W, Kechris KJ, Bowler RP, Lange L, Banaei-Kashani F. Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification. Front Big Data. 2022; 5:894632.
Score: 0.053
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Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes. PLoS Comput Biol. 2021 10; 17(10):e1008986.
Score: 0.050
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Shaddox E, Peterson CB, Stingo FC, Hanania NA, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. Bayesian inference of networks across multiple sample groups and data types. Biostatistics. 2020 07 01; 21(3):561-576.
Score: 0.046
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Cruickshank-Quinn CI, Jacobson S, Hughes G, Powell RL, Petrache I, Kechris K, Bowler R, Reisdorph N. Metabolomics and transcriptomics pathway approach reveals outcome-specific perturbations in COPD. Sci Rep. 2018 11 20; 8(1):17132.
Score: 0.041
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Cruickshank-Quinn C, Powell R, Jacobson S, Kechris K, Bowler RP, Petrache I, Reisdorph N. Metabolomic similarities between bronchoalveolar lavage fluid and plasma in humans and mice. Sci Rep. 2017 07 11; 7(1):5108.
Score: 0.038
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Keene JD, Jacobson S, Kechris K, Kinney GL, Foreman MG, Doerschuk CM, Make BJ, Curtis JL, Rennard SI, Barr RG, Bleecker ER, Kanner RE, Kleerup EC, Hansel NN, Woodruff PG, Han MK, Paine R, Martinez FJ, Bowler RP, O'Neal WK. Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts. Am J Respir Crit Care Med. 2017 02 15; 195(4):473-481.
Score: 0.036
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Shaddox E, Stingo FC, Peterson CB, Jacobson S, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD. Stat Biosci. 2018; 10(1):59-85.
Score: 0.036
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Sun W, Kechris K, Jacobson S, Drummond MB, Hawkins GA, Yang J, Chen TH, Quibrera PM, Anderson W, Barr RG, Basta PV, Bleecker ER, Beaty T, Casaburi R, Castaldi P, Cho MH, Comellas A, Crapo JD, Criner G, Demeo D, Christenson SA, Couper DJ, Curtis JL, Doerschuk CM, Freeman CM, Gouskova NA, Han MK, Hanania NA, Hansel NN, Hersh CP, Hoffman EA, Kaner RJ, Kanner RE, Kleerup EC, Lutz S, Martinez FJ, Meyers DA, Peters SP, Regan EA, Rennard SI, Scholand MB, Silverman EK, Woodruff PG, O'Neal WK, Bowler RP. Common Genetic Polymorphisms Influence Blood Biomarker Measurements in COPD. PLoS Genet. 2016 Aug; 12(8):e1006011.
Score: 0.035
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Lu Q, Jin C, Sun J, Bowler R, Kechris K, Kaminski N, Zhao H. Post-GWAS Prioritization Through Data Integration Provides Novel Insights on Chronic Obstructive Pulmonary Disease. Stat Biosci. 2016; 2016:1-17.
Score: 0.035
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Ru Y, Kechris KJ, Tabakoff B, Hoffman P, Radcliffe RA, Bowler R, Mahaffey S, Rossi S, Calin GA, Bemis L, Theodorescu D. The multiMiR R package and database: integration of microRNA-target interactions along with their disease and drug associations. Nucleic Acids Res. 2014; 42(17):e133.
Score: 0.031
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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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