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Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems.

Boué S, Talikka M, Westra JW, Hayes W, Di Fabio A, Park J, Schlage WK, Sewer A, Fields B, Ansari S, Martin F, Veljkovic E, Kenney R, Peitsch MC, Hoeng J - Database (Oxford) (2015)

Bottom Line: With the wealth of publications and data available, powerful and transparent computational approaches are required to represent measured data and scientific knowledge in a computable and searchable format.Nodes and edges can be filtered and all supporting evidence for the edges can be browsed and is linked to the original articles in PubMed.Moreover, networks may be downloaded for further visualization and evaluation.

View Article: PubMed Central - PubMed

Affiliation: Philip Morris International R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland, Selventa, One Alewife Center, Cambridge, MA 02140, USA and Applied Dynamic Solutions, LLC, 220 Davidson Avenue, Suite 100, Somerset, NJ 08873, USA.

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The CBN models. (A) The CBN models are made up of causally connected BEL relationships extracted from selected evidence text in the scientific literature. (B) Models are enriched with hypotheses generated by reverse causal reasoning (RCR) on data sets of interest. (C) Models can evolve and be augmented to include, e.g. COPD-relevant mechanisms. Networks were and continue to be subjected to crowd verification under the umbrella of the sbv IMPROVER network verification challenge. Multiple versions of the networks have been deposited into the CBN database to keep the history and to reflect the iterative refinement of the networks.
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bav030-F3: The CBN models. (A) The CBN models are made up of causally connected BEL relationships extracted from selected evidence text in the scientific literature. (B) Models are enriched with hypotheses generated by reverse causal reasoning (RCR) on data sets of interest. (C) Models can evolve and be augmented to include, e.g. COPD-relevant mechanisms. Networks were and continue to be subjected to crowd verification under the umbrella of the sbv IMPROVER network verification challenge. Multiple versions of the networks have been deposited into the CBN database to keep the history and to reflect the iterative refinement of the networks.

Mentions: The first versions of 98 network models (Version 1.0) were constructed and evaluated following the strategy reported previously (7–12). This strategy (Figure 3A and B) is summarized briefly here:


Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems.

Boué S, Talikka M, Westra JW, Hayes W, Di Fabio A, Park J, Schlage WK, Sewer A, Fields B, Ansari S, Martin F, Veljkovic E, Kenney R, Peitsch MC, Hoeng J - Database (Oxford) (2015)

The CBN models. (A) The CBN models are made up of causally connected BEL relationships extracted from selected evidence text in the scientific literature. (B) Models are enriched with hypotheses generated by reverse causal reasoning (RCR) on data sets of interest. (C) Models can evolve and be augmented to include, e.g. COPD-relevant mechanisms. Networks were and continue to be subjected to crowd verification under the umbrella of the sbv IMPROVER network verification challenge. Multiple versions of the networks have been deposited into the CBN database to keep the history and to reflect the iterative refinement of the networks.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4401337&req=5

bav030-F3: The CBN models. (A) The CBN models are made up of causally connected BEL relationships extracted from selected evidence text in the scientific literature. (B) Models are enriched with hypotheses generated by reverse causal reasoning (RCR) on data sets of interest. (C) Models can evolve and be augmented to include, e.g. COPD-relevant mechanisms. Networks were and continue to be subjected to crowd verification under the umbrella of the sbv IMPROVER network verification challenge. Multiple versions of the networks have been deposited into the CBN database to keep the history and to reflect the iterative refinement of the networks.
Mentions: The first versions of 98 network models (Version 1.0) were constructed and evaluated following the strategy reported previously (7–12). This strategy (Figure 3A and B) is summarized briefly here:

Bottom Line: With the wealth of publications and data available, powerful and transparent computational approaches are required to represent measured data and scientific knowledge in a computable and searchable format.Nodes and edges can be filtered and all supporting evidence for the edges can be browsed and is linked to the original articles in PubMed.Moreover, networks may be downloaded for further visualization and evaluation.

View Article: PubMed Central - PubMed

Affiliation: Philip Morris International R&D, Philip Morris Products S.A. Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland, Selventa, One Alewife Center, Cambridge, MA 02140, USA and Applied Dynamic Solutions, LLC, 220 Davidson Avenue, Suite 100, Somerset, NJ 08873, USA.

Show MeSH
Related in: MedlinePlus