METHODS AND APPARATUS RELATED TO GATE BOUNDARIES WITHIN A DATA SPACE
In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.
1 . One or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to:
receive a set of parameter values defining a boundary within a data space associated with a dataset, the dataset representing signaling related to a test substance;
define a first metric based on a first portion of the dataset associated with a first region defined by the boundary;
modify the boundary; and
define a second metric based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified, the second region being different than the first region.
2 . The one or more processor-readable media of claim 1 , wherein the boundary is modified based on a random number.
3 . The one or more processor-readable media of claim 1 , wherein the boundary includes a vertex, the modifying of the boundary includes modifying the vertex of the boundary.
4 . The one or more processor-readable media of claim 1 , wherein the modifying of the boundary includes scaling the boundary along an axis.
5 . The one or more processor-readable media of claim 1 , further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
define an axis of the boundary based on an Eigenvector, the boundary being modified along the axis based on a random number.
6 . The one or more processor-readable media of claim 1 , further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
define an axis based on an orientation of the dataset within the data space, the modifying of the boundary is based on the axis.
7 . The one or more processor-readable media of claim 1 , wherein the boundary includes a vertex,
the one or more processor-readable media further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
define an axis based on a shape mathematically fitted to the boundary, the modifying of the boundary includes modifying the vertex of the boundary based on the axis.
8 . The one or more processor-readable media of claim 1 , wherein the modifying of the boundary is performed based on a user preference.
9 . The one or more processor-readable media of claim 1 , wherein the first portion of the dataset includes a plurality of datapoints outside of the data space.
10 . The one or more processor-readable media of claim 1 , wherein the boundary is a first boundary, the dataset is defined based on a second boundary within the data space, the first boundary being logically related to the second boundary.
11 . The one or more processor-readable media of claim 1 , wherein the boundary is a first boundary, the first region is based on a combination of the first boundary and a second boundary,
the one or more processor-readable media further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
modify the second boundary, the second region is based on a combination of the second boundary after the second boundary is modified and the first boundary after the first boundary is modified.
12 . The one or more processor-readable media of claim 1 , wherein the boundary includes a line segment.
13 . The one or more processor-readable media of claim 1 , wherein the boundary includes a hyperplane.
14 . The one or more processor-readable media of claim 1 , further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
identify the modified boundary as a boundary template.
15 . One or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to:
receive a set of parameter values defining a first boundary within a data space associated with a dataset, the first boundary defining a region inside the first boundary, the dataset representing signaling related to a test substance;
receive a set of parameter values defining a second boundary circumscribing the first boundary, the second boundary being within the data space; and
define a plurality of metrics based on a portion of the dataset included in the region and based on a plurality of relationships between a plurality of perturbations of the second boundary and a portion of the dataset outside of the region.
16 . The one or more processor-readable media of claim 15 , further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
receive a set of parameter values defining a third boundary circumscribing the second boundary, each perturbation from the plurality of perturbations of the second boundary being within a region between the first boundary and the third boundary.
17 . The one or more processor-readable media of claim 15 , wherein the region is a first region,
further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
receive a set of parameter values defining a third boundary circumscribing the second boundary, the portion of the dataset is within a second region between the second boundary and the third boundary.
18 . The one or more processor-readable media of claim 15 , wherein the region is a first region,
further storing code representing instructions that when executed by the one or more processors cause the one or more processors to:
receive a set of parameter values defining a third boundary circumscribing the second boundary, each perturbation from the plurality of perturbations is defined by a vertex located within a second region between the second boundary and the third boundary.
19 . One or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to:
receive a set of parameter values defining a multi-dimensional boundary within a data space associated with a dataset, the multi-dimensional boundary having more than two dimensions, the dataset representing signaling related to a test substance;
define a metric based on a relationship between the multi-dimensional boundary and the dataset; and
modify at least one of the dimensions of the multi-dimensional boundary.
20 . The one or more processor-readable media of claim 19 , wherein the metric is defined based on a parameter value included in the dataset and outside of the data space.
21 - 28 . (canceled)