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Figure 3.6: Clusters of the types I and III metacaspase subnetworkvan Niekerk, Karenfigshare 2024Texto completo disponível |
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12 |
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Figure 2.8: Sequence similarity network of 9 576 prokaryote and eukaryote protein sequences containing the caspase-haemoglobinase foldvan Niekerk, Karenfigshare 2024Texto completo disponível |
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13 |
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Figure 2.11: Sequence similarity network of C14 peptidases of prokaryotes and eukaryotesvan Niekerk, Karenfigshare 2024Texto completo disponível |
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14 |
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Figure 2.9: Sequence similarity network of 9 576 prokaryote and eukaryote protein sequences containing the caspase-haemoglobinase foldvan Niekerk, Karenfigshare 2024Texto completo disponível |
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15 |
Material Type: Imagem
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Figure 2.13: Markov clustering of the C14 peptidase SSN using the MCL algorithmvan Niekerk, Karenfigshare 2024Texto completo disponível |
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16 |
Material Type: Imagem
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Fair Interpretable Learning via Correction VectorsKöppel, Marius ; Cerrato, Mattia ; Segner, Alexander ; Kramer, Stefanfigshare 2023Texto completo disponível |
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17 |
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18 |
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Network of Marital and Parental Relations of Western and Central European Dynasties, 1350-1550Fraikin, MiaraZenodo 2023Sem texto completo |
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19 |
Material Type: Imagem
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20 |
Material Type: Imagem
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Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease DetectionComp Life Sci, Interdis Scifigshare 2023Texto completo disponível |