Bio-medical Ontologies Maintenance and Change Management

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RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 600 500 400 300 200 100 The Minimal Model of Glucose Disappearance in Type I Diabetes 309 OMI 0 −100 0 100 200 300 0 80 60 40 20 0 −100 0 100 200 300 0 200 150 100 50 Data LMM MM 0 −100 0 100 Time (mins) 200 300 60 50 40 30 20 10 4 3 2 1 Glucose load (g/5 min) IR (U/5 min) RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 400 200 NMI 0 −100 0 100 200 300 0 40 20 0 −100 0 100 200 300 0 200 150 100 50 Data LMM MM 0 −100 0 100 Time (mins) 200 300 Fig. 12. LMM and MM fit to data obtained experimentally from patient 6, for the old (left) and new (right) model inputs RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) OMI 600 500 400 300 200 100 0 −100 0 100 200 300 0 60 50 40 30 20 10 60 50 40 30 20 10 0 −100 0 100 200 300 0 6 5 4 3 2 1 140 120 100 80 Data LMM MM 60 −100 0 100 Time (mins) 200 300 Glucose load (g/5 min) IR (U/5 min) RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 400 200 NMI 100 50 0 −100 0 100 200 300 0 30 25 20 15 10 5 0 −100 0 100 200 300 0 6 5 4 3 2 1 60 −100 0 100 Time (mins) 200 300 Fig. 13. LMM and MM fit to data obtained experimentally from patient 7, for the old (left) and new (right) model inputs 140 120 100 80 Data LMM MM 4 2 IR (U/5 min) 100 50 IR (U/5 min) Glucose load (g/5 min) Glucose load (g/5 min)
310 M. Fernandez, M. Villasana, and D. Streja RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 600 500 400 300 200 100 OMI 0 −100 0 100 200 300 0 100 50 0 −100 0 100 200 300 0 400 350 300 250 Data LMM MM 200 −100 0 100 Time (mins) 200 300 30 25 20 15 10 5 10 5 Glucose load (g/5 min) IR (U/5 min) RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 400 200 NMI 0 −100 0 100 200 300 0 40 20 0 −100 0 100 200 300 0 400 350 300 250 Data LMM MM 200 −100 0 100 Time (mins) 200 300 Fig. 14. LMM and MM fit to data obtained experimentally from patient 8, for the old (left) and new (right) model inputs RA (mg/min) y 2 (μU/ml) y 1 (mg/dl) 1000 500 OMI 0 −100 0 100 200 300 0 100 50 0 −100 0 100 200 300 0 250 200 150 100 Data LMM MM 50 −100 0 100 Time (mins) 200 300 40 20 10 5 Glucose load (g/5 min) IR (U/5 min) RA (mg/min) y 2 (μU/ml) 400 300 200 100 NMI 0 −100 0 100 200 300 0 30 25 20 15 10 5 0 −100 0 100 200 300 0 6 5 4 3 2 1 50 −100 0 100 Time (mins) 200 300 Fig. 15. LMM and MM fit to data obtained experimentally from patient 9, for the old (left) and new (right) model inputs y 1 (mg/dl) 250 200 150 100 Data LMM MM 40 20 10 5 40 30 20 10 Glucose load (g/5 min) IR (U/5 min) Glucose load (g/5 min) IR (U/5 min)
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Amandeep S. Sidhu and Tharam S. Dil
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Amandeep S. Sidhu and Tharam S. Dil
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Preface The molecular biology commu
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Preface VII biomedical systems, and
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X Contents Mining Clinical, Immunol
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2 A.S. Sidhu, M. Bellgard, and T.S.
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Towards Bioinformatics Resourceomes
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2 The New Waves Towards Bioinformat
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2.4 Semantic Web Towards Bioinforma
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A Summary of Genomic Databases: Ove
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Appendix A Summary of Genomic Datab
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Protein Data Integration Problem Am
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Protein Data Integration Problem 57
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Fig. 3. Class Hierarchy of Protein
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72 L. Stanescu, D. Dan Burdescu, an
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Bio-medical Ontologies Maintenance
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TextToOnto (Maedche and Volz 2001)
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Extraction of Constraints from Biol
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Classifying Patterns in Bioinformat
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Mining Clinical, Immunological, and
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Substructure Analysis of Metabolic
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entry compound relation subtype com
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Page 341: Author Index Apiletti, Daniele 169
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Bio-medical Ontologies Maintenance and Change Management

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