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10 result(s) for 'author#Rudiyanto Gunawan' within BMC

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  1. The editors of BMC Systems Biology would like to thank all our reviewers who have contributed to the journal in Volume 9 (2015).

    Authors: Timothy R. Sands
    Citation: BMC Systems Biology 2016 10:29
  2. An efficient and reliable parameter estimation method is essential for the creation of biological models using ordinary differential equation (ODE). Most of the existing estimation methods involve finding the ...

    Authors: Gengjie Jia, Gregory Stephanopoulos and Rudiyanto Gunawan
    Citation: BMC Systems Biology 2012 6:142
  3. Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is introduced for model identification using avai...

    Authors: Kapil G Gadkar, Rudiyanto Gunawan and Francis J Doyle III
    Citation: BMC Bioinformatics 2005 6:155
  4. The inference of gene regulatory networks (GRNs) from transcriptional expression profiles is challenging, predominantly due to its underdetermined nature. One important consequence of underdetermination is the...

    Authors: S.M. Minhaz Ud-Dean, Sandra Heise, Steffen Klamt and Rudiyanto Gunawan
    Citation: BMC Bioinformatics 2016 17:252
  5. Knowledge on the molecular targets of diseases and drugs is crucial for elucidating disease pathogenesis and mechanism of action of drugs, and for driving drug discovery and treatment formulation. In this rega...

    Authors: Heeju Noh, Ziyi Hua, Panagiotis Chrysinas, Jason E. Shoemaker and Rudiyanto Gunawan
    Citation: BMC Bioinformatics 2021 22:108
  6. Diabetic nephropathy, a kidney complication arising from diabetes, is the leading cause of death in diabetic patients. Unabated, the growing epidemic of diabetes is increasing instances of diabetic nephropathy...

    Authors: Haryana Y. Thomas and Ashlee N. Ford Versypt
    Citation: Journal of Biological Engineering 2022 16:19
  7. Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology. Recently, single-cell transcriptomic data have been massively used fo...

    Authors: Arnaud Bonnaffoux, Ulysse Herbach, Angélique Richard, Anissa Guillemin, Sandrine Gonin-Giraud, Pierre-Alexis Gros and Olivier Gandrillon
    Citation: BMC Bioinformatics 2019 20:220