Loading...
Keywords
Last Name
Institution

Connection

Brooke Fridley to Proteomics

This is a "connection" page, showing publications Brooke Fridley has written about Proteomics.

 
Connection Strength
 
 
 
0.847
 
  1. Chalise P, Raghavan R, Fridley BL. InterSIM: Simulation tool for multiple integrative 'omic datasets'. Comput Methods Programs Biomed. 2016 May; 128:69-74.
    View in: PubMed
    Score: 0.535
  2. Wang X, Fridley BL. Multi-omics Data Deconvolution and Integration: New Methods, Insights, and Translational Implications. Methods Mol Biol. 2023; 2629:1-9.
    View in: PubMed
    Score: 0.215
  3. Chalise P, Kwon D, Fridley BL, Mo Q. Statistical Methods for Integrative Clustering of Multi-omics Data. Methods Mol Biol. 2023; 2629:73-93.
    View in: PubMed
    Score: 0.054
  4. Li Q, Fisher K, Meng W, Fang B, Welsh E, Haura EB, Koomen JM, Eschrich SA, Fridley BL, Chen YA. GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis. Bioinformatics. 2020 01 01; 36(1):257-263.
    View in: PubMed
    Score: 0.044
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.