Team:Alberta/Project/Modeling/FindMatchesArray
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(New page: function [MatchListArray, Diff, minimumDiff, positionOfMinimumDiff] = FindMatchesArray(List, CellArrayOfLists) %example: CellArrayOfLists = MinimalGenomeArray; %example: List = YourSusp...)
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(New page: function [MatchListArray, Diff, minimumDiff, positionOfMinimumDiff] = FindMatchesArray(List, CellArrayOfLists) %example: CellArrayOfLists = MinimalGenomeArray; %example: List = YourSusp...)
Newer edit →
Revision as of 06:21, 4 October 2009
function [MatchListArray, Diff, minimumDiff, positionOfMinimumDiff] = FindMatchesArray(List, CellArrayOfLists) %example: CellArrayOfLists = MinimalGenomeArray; %example: List = YourSuspectedResearchedLiteratureEssentialGenes; (or your suspected minimal genome) %If the lists were chosen in this way, the Researched List would be compared with every %Minimal Genome list one at a time. For each comparison, this code %would output (for this example) the list of matches and lets you know which %list you should analyze further to improve your researched gene list. Diff=zeros(1); MatchListArray=cell(1); for z=1:length(CellArrayOfLists) z r=1; MatchList=cell(1); Match=zeros(max(length(CellArrayOfLists{z}), length(List))); for a=(1:length(CellArrayOfLists{z})) for b=(1:length(List)) if strcmp(CellArrayOfLists{z}(a), List(b)) == 1 Match(b)=1; end end a; end for c=1:length(List) if Match(c) == 1 MatchList(r) = List(c); r=r+1; end end MatchList=MatchList' ; %NumberOfMatches=sum(Match) %sum(Match) not MatchList MatchListArray{z}=MatchList end for t=1:length(CellArrayOfLists) Diff(t)=length(CellArrayOfLists{t})-length(MatchListArray{t}); end Diff [minimumDiff, positionOfMinimumDiff] = min(Diff) [maxValue minValue avg minPosition] = MaxMinAvg(MatchListArray) disp('Use InvertList.m on the researched essential genes and the MatchListArray entry that has the smallest difference') disp('Or use InverListArray.m on the researched essential genes and the whole MatchListArray')