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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Russell Bowler and Yonghua Zhuang.

 
Connection Strength
 
 
 
0.738
 
  1. 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.
    View in: PubMed
    Score: 0.212
  2. 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.
    View in: PubMed
    Score: 0.196
  3. 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).
    View in: PubMed
    Score: 0.178
  4. 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.
    View in: PubMed
    Score: 0.054
  5. 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.
    View in: PubMed
    Score: 0.051
  6. 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).
    View in: PubMed
    Score: 0.047
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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