cg
changeset 28:01c118d1074b
.
author | bshanks@bshanks.dyndns.org |
---|---|
date | Mon Apr 13 03:31:42 2009 -0700 (16 years ago) |
parents | 5db0420abbb6 |
children | 5e2e4732b647 |
files | grant.html grant.odt grant.pdf grant.txt |
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1.1 --- a/grant.html Mon Apr 13 03:25:42 2009 -0700
1.2 +++ b/grant.html Mon Apr 13 03:31:42 2009 -0700
1.3 @@ -52,7 +52,7 @@
1.4 gene expression dataset used in the construction of the classifier is called training
1.5 data.
1.6 In the machine learning literature, this sort of procedure may be thought
1.7 - of as a supervised learning task, defined as a task in whcih the goal is to learn
1.8 + of as a supervised learning task, defined as a task in which the goal is to learn
1.9 a mapping from instances to labels, and the training data consists of a set of
1.10 instances (voxels) for which the labels (subregions) are known.
1.11 Each gene expression level is called a feature, and the selection of which
1.12 @@ -489,6 +489,7 @@
1.13 app2 has examples of genetic targeting to specific anatomical regions
1.14 —
1.15 note:
1.16 + do we need to cite: no known markers? impressive results?
1.17 14
1.18
1.19
2.1 Binary file grant.odt has changed
3.1 Binary file grant.pdf has changed
4.1 --- a/grant.txt Mon Apr 13 03:25:42 2009 -0700
4.2 +++ b/grant.txt Mon Apr 13 03:31:42 2009 -0700
4.3 @@ -29,7 +29,7 @@
4.4
4.5 The object of aim 1 is not to produce a single classifier, but rather to develop an automated method for determining a classifier for any known anatomical structure. Therefore, we seek a procedure by which a gene expression dataset may be analyzed in concert with an anatomical atlas in order to produce a classifier. Such a procedure is a type of a machine learning procedure. The construction of the classifier is called __training__ (also __learning__), and the initial gene expression dataset used in the construction of the classifier is called __training data__.
4.6
4.7 -In the machine learning literature, this sort of procedure may be thought of as a __supervised learning task__, defined as a task in whcih the goal is to learn a mapping from instances to labels, and the training data consists of a set of instances (voxels) for which the labels (subregions) are known.
4.8 +In the machine learning literature, this sort of procedure may be thought of as a __supervised learning task__, defined as a task in which the goal is to learn a mapping from instances to labels, and the training data consists of a set of instances (voxels) for which the labels (subregions) are known.
4.9
4.10 Each gene expression level is called a __feature__, and the selection of which genes to include is called __feature selection__. Feature selection is one component of the task of learning a classifier. Some methods for learning classifiers start out with a separate feature selection phase, whereas other methods combine feature selection with other aspects of training.
4.11
4.12 @@ -316,3 +316,5 @@
4.13 ---
4.14
4.15 note:
4.16 +
4.17 +do we need to cite: no known markers? impressive results?