cg

changeset 50:0669519bc685

.
author bshanks@bshanks.dyndns.org
date Thu Apr 16 14:50:46 2009 -0700 (16 years ago)
parents 3de5b85c50f1
children 3ebb8f4ea921
files grant.txt
line diff
1.1 --- a/grant.txt Wed Apr 15 18:54:05 2009 -0700 1.2 +++ b/grant.txt Thu Apr 16 14:50:46 2009 -0700 1.3 @@ -408,6 +408,8 @@ 1.4 # Extend the procedure to handle difficult areas by using combinatorial coding: for areas that cannot be identified by any single gene, identify them with a handful of genes. We will consider both (a) algorithms that incrementally/greedily combine single gene markers into sets, such as forward stepwise regression and decision trees, and also (b) supervised learning techniques which use soft constraints to minimize the number of features, such as sparse support vector machines. 1.5 # Extend the procedure to handle difficult areas by combining or redrawing the boundaries: An area may be difficult to identify because the boundaries are misdrawn, or because it does not "really" exist as a single area, at least on the genetic level. We will develop extensions to our procedure which (a) detect when a difficult area could be fit if its boundary were redrawn slightly, and (b) detect when a difficult area could be combined with adjacent areas to create a larger area which can be fit. 1.6 1.7 +# Linear discriminant analysis 1.8 + 1.9 1.10 1.11 \vspace{0.3cm}**Apply these algorithms to the cortex** 1.12 @@ -418,6 +420,7 @@ 1.13 # Run the procedures that we developed on the cortex: we will present, for each area, a short list of markers to identify that area; and we will also present lists of "panels" of genes that can be used to delineate many areas at once. 1.14 1.15 1.16 + 1.17 \vspace{0.3cm}**Develop algorithms to suggest a division of a structure into anatomical parts** 1.18 1.19 # Explore dimensionality reduction algorithms applied to pixels: including TODO 1.20 @@ -427,6 +430,7 @@ 1.21 # Develop an algorithm to use dimensionality reduction and/or hierarchial clustering to create anatomical maps 1.22 # Run this algorithm on the cortex: present a hierarchial, genoarchitectonic map of the cortex 1.23 1.24 +# Linear discriminant analysis 1.25 1.26 1.27 \newpage