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Biological Data Visualization

Hanchuan Peng, Elisabeta Marai, Seán O'Donoghue, Jan Aerts, Christopher Bartlett

  1. Research in cell biology is steadily contributing new knowledge about many aspects of physiological processes, both with respect to the involved molecular structures as well as their related function. Illustra...

    Authors: Ivan Kolesar, Julius Parulek, Ivan Viola, Stefan Bruckner, Anne-Kristin Stavrum and Helwig Hauser
    Citation: BMC Bioinformatics 2014 15:345
  2. Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphologica...

    Authors: Paul D Shaw, Martin Graham, Jessie Kennedy, Iain Milne and David F Marshall
    Citation: BMC Bioinformatics 2014 15:259
  3. Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if bi...

    Authors: Justin Feigelman, Fabian J Theis and Carsten Marr
    Citation: BMC Bioinformatics 2014 15:240
  4. The biological world is replete with phenomena that appear to be ideally modeled and analyzed by one archetypal statistical framework - the Graphical Probabilistic Model (GPM). The structure of GPMs is a uniqu...

    Authors: William C Ray, Samuel L Wolock, Nicholas W Callahan, Min Dong, Q Quinn Li, Chun Liang, Thomas J Magliery and Christopher W Bartlett
    Citation: BMC Bioinformatics 2014 15:202
  5. Biological networks have a growing importance for the interpretation of high-throughput “omics” data. Integrative network analysis makes use of statistical and combinatorial methods to extract smaller subnetwo...

    Authors: Kasper Dinkla, Mohammed El-Kebir, Cristina-Iulia Bucur, Marco Siderius, Martine J Smit, Michel A Westenberg and Gunnar W Klau
    Citation: BMC Bioinformatics 2014 15:201