 Connection
Lucas Gillenwater to Humans
This is a "connection" page, showing publications Lucas Gillenwater has written about Humans.
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Connection Strength |
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0.098 |
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Gillenwater LA, Hunter LE, Costello JC. GRACKLE: an interpretable matrix factorization approach for biomedical representation learning. Bioinformatics. 2025 Jul 01; 41(Supplement_1):i609-i618.
Score: 0.022
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Gillenwater LA, Galbraith MD, Rachubinski AL, Eduthan NP, Sullivan KD, Espinosa JM, Costello JC. Integrated analysis of immunometabolic interactions in Down syndrome. Sci Adv. 2024 12 13; 10(50):eadq3073.
Score: 0.022
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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: 0.017
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Nandi S, Zhu Y, Gillenwater LA, Subirana-Granés M, Zhang H, Janani N, Greene C, Pividori M, Chikina M, Costello JC. A Pathway-Level Information ExtractoR (PLIER) framework to gain mechanistic insights into obesity in Down syndrome. Pac Symp Biocomput. 2025; 30:412-425.
Score: 0.005
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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: 0.005
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Ngo D, Pratte KA, Flexeder C, Petersen H, Dang H, Ma Y, Keyes MJ, Gao Y, Deng S, Peterson BD, Farrell LA, Bhambhani VM, Palacios C, Quadir J, Gillenwater L, Xu H, Emson C, Gieger C, Suhre K, Graumann J, Jain D, Conomos MP, Tracy RP, Guo X, Liu Y, Johnson WC, Cornell E, Durda P, Taylor KD, Papanicolaou GJ, Rich SS, Rotter JI, Rennard SI, Curtis JL, Woodruff PG, Comellas AP, Silverman EK, Crapo JD, Larson MG, Vasan RS, Wang TJ, Correa A, Sims M, Wilson JG, Gerszten RE, O'Connor GT, Barr RG, Couper D, Dupuis J, Manichaikul A, O'Neal WK, Tesfaigzi Y, Schulz H, Bowler RP. Systemic Markers of Lung Function and Forced Expiratory Volume in 1 Second Decline across Diverse Cohorts. Ann Am Thorac Soc. 2023 08; 20(8):1124-1135.
Score: 0.005
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Baldomero AK, MacDonald DM, Kaplan A, Lock E, Cho MH, Bowler R, Gillenwater L, Kunisaki KM, Wendt CH. Bilirubin-associated single nucleotide polymorphism (SNP) and respiratory health outcomes: a mendelian randomization study. Respir Res. 2023 Jul 20; 24(1):190.
Score: 0.005
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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: 0.004
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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: 0.004
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Schweitzer KS, Jinawath N, Yonescu R, Ni K, Rush N, Charoensawan V, Bronova I, Berdyshev E, Leach SM, Gillenwater LA, Bowler RP, Pearse DB, Griffin CA, Petrache I. IGSF3 mutation identified in patient with severe COPD alters cell function and motility. JCI Insight. 2020 07 23; 5(14).
Score: 0.004
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Raffield LM, Dang H, Pratte KA, Jacobson S, Gillenwater LA, Ampleford E, Barjaktarevic I, Basta P, Clish CB, Comellas AP, Cornell E, Curtis JL, Doerschuk C, Durda P, Emson C, Freeman CM, Guo X, Hastie AT, Hawkins GA, Herrera J, Johnson WC, Labaki WW, Liu Y, Masters B, Miller M, Ortega VE, Papanicolaou G, Peters S, Taylor KD, Rich SS, Rotter JI, Auer P, Reiner AP, Tracy RP, Ngo D, Gerszten RE, O'Neal WK, Bowler RP. Comparison of Proteomic Assessment Methods in Multiple Cohort Studies. Proteomics. 2020 06; 20(12):e1900278.
Score: 0.004
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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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