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Connection

Katerina Kechris to Genomics

This is a "connection" page, showing publications Katerina Kechris has written about Genomics.

 
Connection Strength
 
 
 
1.478
 
  1. Liu W, Pratte KA, Castaldi PJ, Hersh C, Bowler RP, Banaei-Kashani F, Kechris KJ. A generalized higher-order correlation analysis framework for multi-omics network inference. PLoS Comput Biol. 2025 Apr; 21(4):e1011842.
    View in: PubMed
    Score: 0.661
  2. Pedersen BS, Schwartz DA, Yang IV, Kechris KJ. Comb-p: software for combining, analyzing, grouping and correcting spatially correlated P-values. Bioinformatics. 2012 Nov 15; 28(22):2986-8.
    View in: PubMed
    Score: 0.276
  3. Liu W, Vu T, R Konigsberg I, A Pratte K, Zhuang Y, Kechris KJ. Smccnet 2.0: a comprehensive tool for multi-omics network inference with shiny visualization. BMC Bioinformatics. 2024 Aug 24; 25(1):276.
    View in: PubMed
    Score: 0.158
  4. 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. PLoS Comput Biol. 2024 Mar; 20(3):e1011814.
    View in: PubMed
    Score: 0.154
  5. 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.
    View in: PubMed
    Score: 0.098
  6. De S, Pedersen BS, Kechris K. The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment. Brief Bioinform. 2014 Nov; 15(6):919-28.
    View in: PubMed
    Score: 0.074
  7. Tabakoff B, Saba L, Printz M, Flodman P, Hodgkinson C, Goldman D, Koob G, Richardson HN, Kechris K, Bell RL, H?bner N, Heinig M, Pravenec M, Mangion J, Legault L, Dongier M, Conigrave KM, Whitfield JB, Saunders J, Grant B, Hoffman PL. Genetical genomic determinants of alcohol consumption in rats and humans. BMC Biol. 2009 Oct 27; 7:70.
    View in: PubMed
    Score: 0.057
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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