发明名称 |
QUANTITATIVE ASSESSMENT OF BIOLOGICAL IMPACT USING MECHANISTIC NETWORK MODELS |
摘要 |
<p>A method to score a causally consistent network is provided by transforming the network into a hypothesis subnetwork, called a "HYP" (if the nodes have associated measurements) or a "meta-HYP" (if the nodes are themselves HYPs), and then applying known HYP scoring methods (e.g. (NPA, GPI, or the like) based on measurements or scores associated with nodes in the subnetwork. A method also is described for creating a HYP or meta-HYP with weights associated with each downstream node from a causally inconsistent network using a computational technique such as sampling of spanning trees. A further aspect is a method to transform a meta-HYP (with or without weights associated with each downstream node) into a HYP using the weights associated with each downstream node (where the weights are based on the scoring algorithms intended at the meta-HYP and HYP levels).</p> |
申请公布号 |
CA2896732(A1) |
申请公布日期 |
2014.07.03 |
申请号 |
CA20132896732 |
申请日期 |
2013.12.27 |
申请人 |
SELVENTA, INC.;PHILIP MORRIS PRODUCTS, S.A. |
发明人 |
THOMSON, TY MATTHEW;VASILYEV, DMITRY;MARTIN, FLORIAN |
分类号 |
G06F19/12 |
主分类号 |
G06F19/12 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|