%0 Generic %A Fehr, David %A Handzlik, Joanna-Elzbieta %A Manu, Manu %A Loh, Yen Lee %D 2019 %T Supplemental Material for Fehr et al., 2019 %U https://gsajournals.figshare.com/articles/dataset/Supplemental_Material_for_Fehr_et_al_2019/9249245 %R 10.25387/g3.9249245.v1 %2 https://gsajournals.figshare.com/ndownloader/files/16838018 %2 https://gsajournals.figshare.com/ndownloader/files/16838021 %2 https://gsajournals.figshare.com/ndownloader/files/16838024 %2 https://gsajournals.figshare.com/ndownloader/files/16838030 %2 https://gsajournals.figshare.com/ndownloader/files/16838027 %2 https://gsajournals.figshare.com/ndownloader/files/16838033 %K drosophila %K Gap Gene Regulation %K differential equation models %K Pattern formation %K parameter inference %K binary classification %K development %K gene regulartory networks %K Bioinformatics %K Computational Biology %K Developmental Biology %K Developmental Genetics (incl. Sex Determination) %X

Figure S1: Fraction of genetic interconnectivity signs inferred correctly from synthetic data. Figure S2: Training error of SA-inferred gene circuits. Figure S3: Inference of hg and kinetic parameters from synthetic data. Figure S4: Comparison of the spatiotemporal pattern of gap gene expression with the output of gene circuits inferred with FIGR and SA. Table S1: User-defined options and parameters utilized in FIGR code. File S1: Alternative method for determining kinetic parameters.

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