Themes:
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Color schemes:
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Introduccion
Fig 1 : This is an example
We cite 1 as an example
Fig 2 : This is a test
We cite 2 as a test
Table 1 : This is an example table
We cite table 1 as an example
Table 2 : This is a test table
We cite table 2 as a test table
1.0 | 2.0 | 3.0 |
11.0 | 22.0 | 33.0 |
111.0 | 222.0 | 333.0 |
Data table (Header true, text false, style DT):
a | b | c |
---|---|---|
100.0 | 200.0 | 300.0 |
1100.0 | 2200.0 | 3300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
1100.0 | 2200.0 | 3300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
11100.0 | 22200.0 | 33300.0 |
Data table (Header true, text false, style BS):
1 | 2 | 3 |
---|---|---|
11.0 | 22.0 | 33.0 |
111.0 | 222.0 | 333.0 |
Data table (Header true, text true, style DT):
Read_ID | Score | Organism |
---|---|---|
A01641:285:HKKKKDSX5:3:1571:5629:14340_1 | 99.237 | Mus musculus |
A01642:285:HKKKKDSX5:3:1571:5629:14340_1 | 95.42 | Mus musculus |
A01643:285:HKKKKDSX5:3:1571:5629:14340_1 | 93.13 | Mus musculus |
A01644:285:HKKKKDSX5:3:1571:5629:14340_1 | 99.237 | Mus musculus |
A01645:285:HKKKKDSX5:3:1571:5629:14340_1 | 99.237 | Mus musculus |
descripcion
--- title: Hello Title config: theme: base themeVariables: primaryColor: "#00ff00" --- graph LR; A --- B ; A --- E(5) ; B-->C[fa:fa-ban forbidden]; B-->D(fa:fa-spinner); click A callback "Texto para el tooltip" click B href "#CanvasXpress-ParentNode-obj_3_"
--- title: Hello Title config: theme: base themeVariables: primaryColor: "#00ff00" --- timeline title Workflow section Cluster Steps get reliable pairs : Net Metrics get clusters : Cluster Metrics : CDLib Metrics clean clusters : Cluster Metrics : CDLib Metrics prepare and randomize clusters : Nothing cluster ranking : CRank Metrics section Disease Steps disease prediction : Disease Metrics section Ranker Steps gene ranking metrics : First Ranker Metrics : First Ranker Metrics Best Genes geometric mean integration : Geometric integration gene disease ranking : Second Ranker Metrics : Second Ranker Metrics Best Genes get control prediction: Phen2Gene Metrics