 Connection
Katerina Kechris to Pulmonary Disease, Chronic Obstructive
This is a "connection" page, showing publications Katerina Kechris has written about Pulmonary Disease, Chronic Obstructive.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
3.051 |
|
|
|
-
Konigsberg IR, Vu T, Liu W, Litkowski EM, Pratte KA, Vargas LB, Gilmore N, Abdel-Hafiz M, Manichaikul A, Cho MH, Hersh CP, DeMeo DL, Banaei-Kashani F, Bowler RP, Lange LA, Kechris KJ. Proteomic networks and related genetic variants associated with smoking and chronic obstructive pulmonary disease. BMC Genomics. 2024 Sep 02; 25(1):825.
Score: 0.529
-
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: 0.481
-
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: 0.429
-
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: 0.272
-
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: 0.249
-
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: 0.125
-
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: 0.109
-
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: 0.105
-
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: 0.089
-
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: 0.082
-
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: 0.082
-
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: 0.080
-
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: 0.080
-
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: 0.078
-
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: 0.076
-
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: 0.062
-
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: 0.061
-
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: 0.025
-
Serban KA, Rezania S, Petrusca DN, Poirier C, Cao D, Justice MJ, Patel M, Tsvetkova I, Kamocki K, Mikosz A, Schweitzer KS, Jacobson S, Cardoso A, Carlesso N, Hubbard WC, Kechris K, Dragnea B, Berdyshev EV, McClintock J, Petrache I. Structural and functional characterization of endothelial microparticles released by cigarette smoke. Sci Rep. 2016 08 17; 6:31596.
Score: 0.019
-
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: 0.016
|
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.
|