Changes for page SGA3 D1.5 Showcase 1

Last modified by gorkazl on 2023/11/13 14:27

From version 14.1
edited by gorkazl
on 2023/10/09 17:46
Change comment: There is no comment for this version
To version 15.1
edited by fousekjan
on 2023/10/31 09:33
Change comment: There is no comment for this version

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1 -XWiki.gorkazl
1 +XWiki.fousekjan
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51 51  
52 52  * [[virtual_ageing/notebooks/1_BNM_for_resting_state.ipynb>>https://lab.ch.ebrains.eu/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/virtual_ageing/notebooks/1_BNM_for_resting_state.ipynb]]
53 53  
54 -[[image:image-20220103100841-2.png]]
55 55  
55 +[[image:https://wiki.ebrains.eu/bin/download/Collabs/sga3-d1-2-showcase-1/WebHome/image-20220103100841-2.png?rev=1.1||alt="image-20220103100841-2.png"]]
56 +
56 56  === Virtual ageing trajectories ===
57 57  
58 58  The second steps shows the investigation of virtual ageing trajectory for each subject. In this context, we are going to show:
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65 65  
66 66  * [[virtual_ageing/notebooks/2_virtual_ageing_trajectories.ipynb>>https://lab.ch.ebrains.eu/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/virtual_ageing/notebooks/2_virtual_ageing_trajectories.ipynb]]
67 67  
68 -[[image:image-20220103101022-3.png]]
69 +[[image:https://wiki.ebrains.eu/bin/download/Collabs/sga3-d1-2-showcase-1/WebHome/image-20220103101022-3.png?rev=1.1||alt="image-20220103101022-3.png"]]
69 69  
70 70  === Inference with SBI ===
71 71  
72 72  The last step of the inter-individual variability workflow employs Simulation Based Inference for estimation of the full posterior values of the parameters. Here, a deep neural estimator is trained to provide a relationship between the parameters of a model (black box simulator) and selected descriptive statistics of the observed data.
73 73  
74 -[[image:image-20220103104332-4.png||height="418" width="418"]]
75 +[[image:https://wiki.ebrains.eu/bin/download/Collabs/sga3-d1-2-showcase-1/WebHome/image-20220103104332-4.png?width=418&height=418&rev=1.1||alt="image-20220103104332-4.png"]]
75 75  
76 76  Link to the notebook:
77 77  
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93 93  
94 94  * [[regional_variability/notebooks/1_load_data.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/regional_variability/notebooks/1_load_data.ipynb]]
95 95  
96 -(% style="text-align:center" %)
97 -[[image:download - 2022-02-10T130815.902.png||alt="region-wise gene expression heterogeneity"]]
97 +[[image:https://wiki.ebrains.eu/bin/download/Collabs/sga3-d1-2-showcase-1/WebHome/download%20-%202022-02-10T130815.902.png?rev=1.1||alt="region-wise gene expression heterogeneity"]]
98 98  
99 99  === Fitting model parameters with regional bias ===
100 100  
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104 104  
105 105  * [[regional_variability/notebooks/2_parameter_swep.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/regional_variability/notebooks/2_parameter_swep.ipynb]]
106 106  
107 -[[image:download - 2022-02-10T131102.033.png||alt="regional bias vs goodness of fit"]]
107 +[[image:https://wiki.ebrains.eu/bin/download/Collabs/sga3-d1-2-showcase-1/WebHome/download%20-%202022-02-10T131102.033.png?rev=1.1||alt="regional bias vs goodness of fit"]]
108 108  )))
109 109  
110 110