Connection

Dongjun Chung to Algorithms

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

1.641
  1. PALMER: improving pathway annotation based on the biomedical literature mining with a constrained latent block model. BMC Bioinformatics. 2020 Oct 02; 21(1):432.
    View in: PubMed
    Score: 0.498
  2. Robust classification ensemble method for microarray data. Int J Data Min Bioinform. 2011; 5(5):504-18.
    View in: PubMed
    Score: 0.253
  3. Measurement consistency from magnetic resonance images. Acad Radiol. 2008 Oct; 15(10):1322-30.
    View in: PubMed
    Score: 0.217
  4. GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results. Bioinformatics. 2022 01 27; 38(4):1067-1074.
    View in: PubMed
    Score: 0.136
  5. Semi-supervised identification of cancer subgroups using survival outcomes and overlapping grouping information. Stat Methods Med Res. 2019 07; 28(7):2137-2149.
    View in: PubMed
    Score: 0.103
  6. ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasets. PLoS One. 2018; 13(1):e0190949.
    View in: PubMed
    Score: 0.103
  7. A statistical framework for biomedical literature mining. Stat Med. 2017 Sep 30; 36(22):3461-3474.
    View in: PubMed
    Score: 0.099
  8. graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture. PLoS Comput Biol. 2017 02; 13(2):e1005388.
    View in: PubMed
    Score: 0.097
  9. The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics. 2017 03; 73(1):185-196.
    View in: PubMed
    Score: 0.093
  10. Molecular Profiling of RNA Tumors Using High-Throughput RNA Sequencing: From Raw Data to Systems Level Analyses. Methods Mol Biol. 2019; 1908:185-204.
    View in: PubMed
    Score: 0.028
  11. Sparse partial least squares classification for high dimensional data. Stat Appl Genet Mol Biol. 2010; 9:Article17.
    View in: PubMed
    Score: 0.015
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.