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Connection

David Herrington to Algorithms

This is a "connection" page, showing publications David Herrington has written about Algorithms.
Connection Strength

0.293
  1. Yuan X, Miller DJ, Zhang J, Herrington D, Wang Y. An overview of population genetic data simulation. J Comput Biol. 2012 Jan; 19(1):42-54.
    View in: PubMed
    Score: 0.079
  2. Miller DJ, Zhang Y, Yu G, Liu Y, Chen L, Langefeld CD, Herrington D, Wang Y. An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions. Bioinformatics. 2009 Oct 01; 25(19):2478-85.
    View in: PubMed
    Score: 0.067
  3. Wu CT, Wang Y, Wang Y, Ebbels T, Karaman I, Graça G, Pinto R, Herrington DM, Wang Y, Yu G. Targeted realignment of LC-MS profiles by neighbor-wise compound-specific graphical time warping with misalignment detection. Bioinformatics. 2020 05 01; 36(9):2862-2871.
    View in: PubMed
    Score: 0.035
  4. Yu G, Miller DJ, Wu CT, Hoffman EP, Liu C, Herrington DM, Wang Y. Asymmetric independence modeling identifies novel gene-environment interactions. Sci Rep. 2019 02 21; 9(1):2455.
    View in: PubMed
    Score: 0.032
  5. Mahler SA, Lenoir KM, Wells BJ, Burke GL, Duncan PW, Case LD, Herrington DM, Diaz-Garelli JF, Futrell WM, Hiestand BC, Miller CD. Safely Identifying Emergency Department Patients With Acute Chest Pain for Early Discharge. Circulation. 2018 11 27; 138(22):2456-2468.
    View in: PubMed
    Score: 0.032
  6. Chahal H, Bluemke DA, Wu CO, McClelland R, Liu K, Shea SJ, Burke G, Balfour P, Herrington D, Shi P, Post W, Olson J, Watson KE, Folsom AR, Lima JA. Heart failure risk prediction in the Multi-Ethnic Study of Atherosclerosis. Heart. 2015 Jan; 101(1):58-64.
    View in: PubMed
    Score: 0.024
  7. Tian Y, Zhang B, Hoffman EP, Clarke R, Zhang Z, Shih IeM, Xuan J, Herrington DM, Wang Y. KDDN: an open-source Cytoscape app for constructing differential dependency networks with significant rewiring. Bioinformatics. 2015 Jan 15; 31(2):287-9.
    View in: PubMed
    Score: 0.024
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.