Connection

ALEKSANDAR MILOSAVLJEVIC to Algorithms

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

0.952
  1. CTD: An information-theoretic algorithm to interpret sets of metabolomic and transcriptomic perturbations in the context of graphical models. PLoS Comput Biol. 2021 01; 17(1):e1008550.
    View in: PubMed
    Score: 0.419
  2. Analysis of interactions between the epigenome and structural mutability of the genome using Genboree Workbench tools. BMC Bioinformatics. 2014; 15 Suppl 7:S2.
    View in: PubMed
    Score: 0.263
  3. Comparison and quantitative verification of mapping algorithms for whole-genome bisulfite sequencing. Nucleic Acids Res. 2014 Apr; 42(6):e43.
    View in: PubMed
    Score: 0.064
  4. Discovering simple DNA sequences by the algorithmic significance method. Comput Appl Biosci. 1993 Aug; 9(4):407-11.
    View in: PubMed
    Score: 0.062
  5. Discovering sequence similarity by the algorithmic significance method. Proc Int Conf Intell Syst Mol Biol. 1993; 1:284-91.
    View in: PubMed
    Score: 0.060
  6. Pash 2.0: scaleable sequence anchoring for next-generation sequencing technologies. Pac Symp Biocomput. 2008; 102-13.
    View in: PubMed
    Score: 0.042
  7. Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software. BMC Bioinformatics. 2020 Jan 13; 21(1):16.
    View in: PubMed
    Score: 0.024
  8. DNA sequence recognition by hybridization to short oligomers. J Comput Biol. 1995; 2(2):355-70.
    View in: PubMed
    Score: 0.017
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.