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Bryan Roessler
2024-07-29 12:31:26 -04:00
parent 1c0c84f3e6
commit c323eef935
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workflow/apps/matlab/ezview/EZinterAgingDev0.m Executable file
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%single gene L based interaction shift display
function EZinterAgingDev0
[openExpfile,openExppath] = uigetfile('.mat','Open Experiment folder and data storage .mat file name','MultiSelect','on');
AgMPDM=load (fullfile(openExppath,'MasterPlateFiles','MPDMmat.mat'));
for i=1:size(openExpfile,2)
ExpOutmat{i}= fullfile(openExppath,openExpfile{i});
EScan{i}=load(ExpOutmat{1});
end
%single gene L based interaction shift display
%function EZinteractDev3
global Exp
% expN=1;
%User Input decode for application ***************************
prompt={'Enter LeftSide Central Boundary in Percent:',...
'Enter RightSide Central Boundary in Percent:', ...
'Enter Perturbation Numbers for set intersect:' ...
'Remove No Growth Infinite Interactors:' ...
'Number of Bins for Histograms'...
'Subplots(Y), Multiple Plots(N), Suspend Plots(S)'};%...
%'Select Experiment(zone) number:'
name='Interaction User Input';
numlines=1;
defaultanswer={'80','60','1','N','39','Y'};
answer=inputdlg(prompt,name,numlines,defaultanswer);
negPercent= str2double(cell2mat(answer(1)));
posPercent= str2double(cell2mat(answer(2)));
DMstr= cell2mat(answer(3));
DMcomas=strfind((cell2mat(answer(3))),',');
removInfinL= answer(4);
numBins= str2double(cell2mat(answer(5)));
subplotX= answer(6);
%expN= str2double(cell2mat(answer(7)));
n=0;
for i= DMcomas,
n=n+1
DMsel(n)= str2double(DMstr(i-1:i))
if i== max(DMcomas)
DMsel(n+1)= str2double(DMstr(i:end))
end
end
%**************************************************************
Rn=Exp(expN).RFmean;
Rs=Exp(expN).RFstd;
dmN= length(Exp(expN).DM.drug);
mpN= length(Exp(expN).MP);
%Intc1=3; IntcLst=5;
%Calculate Interaction values (with and without
%standardDeviation/Upper-Lower boundary compensation
for j=1:dmN
for m=1:mpN
scnN= j + (dmN*(m-1)) % 1,6,11..; 2,7,12 ..; 3,8,13..;
Xn{m,j,:}=Exp(expN).scan(scnN).plate(1).CFout(:,5); %Exp(expN).scan(DM{j}(m)).plate(1).CFout(:,5);
Xn{m,j,:}(Xn{m,j,:}==0)= 140;
Xln{m,j,:}=Exp(expN).scan(scnN).plate(1).CFout(:,11); %Exp(expN).scan(DM{j}(m)).plate(1).CFout(:,11);
Xhn{m,j,:}=Exp(expN).scan(scnN).plate(1).CFout(:,12); %Exp(expN).scan(DM{j}(m)).plate(1).CFout(:,12);
intL{m,j,:} = (Xn{m,j,:} - Rn(j));
intL{m,j,:}(Xn{m,j,:}==140)= 100;
intLhw{m,j,:} = ((Xn{m,1,:}-Xn{m,j,:}) - Rn(1)-Rn(j));
intLhw{m,j,:}(Xn{m,j,:}==140)= 100;
deltaXR{m,j}(Xn{m,j} >=(Rn(j)+Rs(j)))= ( Xln{m,j}(Xn{m,j} >=(Rn(j)+Rs(j))))- (Rn(j)+Rs(j));
deltaXR{m,j}(Xn{m,j} < (Rn(j)-Rs(j)))= ( Xhn{m,j}(Xn{m,j} < (Rn(j)-Rs(j))))- (Rn(j)-Rs(j));
Xneg= Xhn{m,j}- (Rn(j)-Rs(j));
Xpos= Xln{m,j}- (Rn(j)+Rs(j));
deltaXR{m,j}= zeros(1,384);
for i=1:length(Xpos(:)),
%deltaXR{m,j}(i)= Xpos(i);
if deltaXR{m,j}(i)==0
try
if abs(Xpos(i))<abs(Xneg(i)), deltaXR{m,j}(i)= Xpos(i);end
catch, end
end
end
for i=1:length(Xneg(:)),
if deltaXR{m,j}(i)==0, deltaXR{m,j}(i)= Xneg(i); end
try
if abs(Xpos(i))>abs(Xneg(i)), deltaXR{m,j}(i)= Xneg(i); end
catch,end
end
deltaXR{m,j,:}(Xln{m,j,:}==0)= 100;
deltaXR{m,j,:}(isnan(Xln{m,j,:}))= 120;
deltaXR{m,j,:}(Xhn{m,j,:}==0)= 100;
deltaXR{m,j,:}(isnan(Xhn{m,j,:}))= 120;
%Compile all gene related L values for the each pert-DM (j).
addend= (1+((m-1)*384)) %((((m-1)*j)*384)+1);
intLcmp(addend:addend+383,j)= cell2mat(intL(m,j,:)); %((addend:addend+383),j)= cell2mat(intL(j,m,:));
intLadjcmp(addend:addend+383,j)= cell2mat(deltaXR(m,j,:)); %((addend:addend+383),j)= cell2mat(deltaXR(j,m,:));
end %m=1:mpN
%Remove RFs and Blank (or non annotated ' ') orf data Then
%Filter data per user intput
intLc{j}= intLcmp(:,j);
intLwoRFs{j}(1,:)= intLcmp(Exp(expN).mutSpotIndx.woRFs,j);
intLwoRFs{j}(2,:)= Exp(expN).mutSpotIndx.woRFs;%Index of non-RF non-blank spots %Crude early intLcmp(385:(mpN-1)*384,j);
if strcmpi(removInfinL,'Y')
intLwoRFs0{j}(1,:)= intLwoRFs{j}(1,(intLwoRFs{j}(1,:)~= 100)); %intLcmp(Exp(1).mutSpotIndx.woRFs,j);
intLwoRFs0{j}(2,:)= intLwoRFs{j}(2,(intLwoRFs{j}(1,:)~= 100)); % intLcmp(385:(mpN-1)*384,j);
clear intLwoRFs
intLwoRFs{j}(1,:)= intLwoRFs0{j}(1,:);
intLwoRFs{j}(2,:)= intLwoRFs0{j}(2,:);
end
intLwoRFsorted{j}= sortrows(intLwoRFs{j}',1);
clear intLcmpSortGT0 intLcmpSortLT0
tempIntL= intLwoRFsorted{j}(:,1);
intLcmpSortGT0= tempIntL((tempIntL) >=0);
intLcmpSortLT0= tempIntL((tempIntL) <0);
centPosCnt= round(posPercent/100 * length(intLcmpSortGT0));
centNegCnt= round(negPercent/100 * length(intLcmpSortLT0));
intLposSel{j}=intLwoRFsorted{j}((length(intLcmpSortLT0)+centPosCnt): end,:);
intLnegSel{j}=intLwoRFsorted{j}((1:(length(intLcmpSortLT0)-centNegCnt)),:);
posIntboundryCentralVal(j)= intLcmpSortGT0((centPosCnt),:); %For Histogram use
negIntboundryCentralVal(j)= intLcmpSortLT0(((length(intLcmpSortLT0))-(centNegCnt)),:); %For Histogram use
%Find potential Interactors within selected range
if j== DMsel(1) %Intc1,
InterslstPos{1}= intLposSel{DMsel(1)}(:,2) %intLcmpposInd{Intc1}
InterslstNeg{1}= intLnegSel{DMsel(1)}(:,2) %intLcmpnegInd{Intc1}
elseif sum(ismember(DMsel,j))==1 %Intc1 && j<=IntcLst
InterslstPos{1}=(intersect(InterslstPos{1},intLposSel{j}(:,2))); %,intLcmpposInd{j}))
InterslstNeg{1}=(intersect(InterslstNeg{1},intLnegSel{j}(:,2))); %,intLcmpnegInd{j}))
end
%Convolute experiment spot index to get scan#, MP# and plateIndx needed
%later to obtain genename and other descriptors and correlate data
intLposDIndx{j}(:,2)=ceil((intLposSel{j}(:,2))/384); %mp plate numb column
intLposDIndx{j}(:,3)=(rem(intLposSel{j}(:,2),384));
nn=(intLposDIndx{j}(:,3)==0);
intLposDIndx{j}(nn,3)= 384;
intLposDIndx{j}(:,1)= j + (dmN*((intLposDIndx{j}(:,2))-1)); %scan numb column %intLposDIndx(:,2)* intLposDIndx(:,3);
intLnegDIndx{j}(:,2)=ceil((intLnegSel{j}(:,2))/384); %mp plate numb column
intLnegDIndx{j}(:,3)=(rem(intLnegSel{j}(:,2),384));
nn=(intLposDIndx{j}(:,3)==0);
intLnegDIndx{j}(nn,3)= 384;
intLnegDIndx{j}(:,1)= j + (dmN*((intLnegDIndx{j}(:,2))-1)); %scan numb
%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%********************************************************************************************
%ADJUSTED L for Reference Standard deviation(More conservative) Interaction List compilation
intLadjwoRFs{j}(1,:)=intLadjcmp(Exp(expN).mutSpotIndx.woRFs,j);
intLadjwoRFs{j}(2,:)= Exp(expN).mutSpotIndx.woRFs; %intLadjcmp(385:(mpN-1)*384,j); %intLadjcmp(Exp(expN).mutSpotIndx.woRFs,j);
if strcmpi(removInfinL,'Y')
intLadjwoRFs0{j}(1,:)= intLadjwoRFs{j}(1,(intLadjwoRFs{j}(1,:)~= 100)) ; %intLcmp(Exp(1).mutSpotIndx.woRFs,j);
intLadjwoRFs0{j}(2,:)= intLadjwoRFs{j}(2,(intLadjwoRFs{j}(1,:)~= 100)) ; % Remove Index where spots are infinite (=100);
clear intLadjwoRFs
intLadjwoRFs{j}(1,:)= intLadjwoRFs0{j}(1,:);
intLadjwoRFs{j}(2,:)= intLadjwoRFs0{j}(2,:);
end
intLwoRFsortedAdj{j}= sortrows(intLadjwoRFs{j}',1);
clear intLadjSortGT0 intLadjSortLT0
tempIntLadj= intLwoRFsortedAdj{j}(:,1);
intLadjSortGT0= tempIntLadj((tempIntLadj) >=0);
intLadjSortLT0= tempIntLadj((tempIntLadj) <0);
centPosCntAdj= round(posPercent/100 * length(intLadjSortGT0));
centNegCntAdj= round(negPercent/100 * length(intLadjSortLT0));
intLposSelAdj{j}=intLwoRFsortedAdj{j}((length(intLadjSortLT0)+centPosCntAdj): end,:);
intLnegSelAdj{j}=intLwoRFsortedAdj{j}((1:(length(intLadjSortLT0)-centNegCntAdj)),:);
posIntboundryCentralValAdj(j)= intLadjSortGT0((centPosCntAdj),:);
negIntboundryCentralValAdj(j)= intLadjSortLT0(((length(intLadjSortLT0))-(centNegCntAdj)),:);
if j== DMsel(1) %Intc1,
InterslstPosAdj{1}= intLposSelAdj{DMsel(1)}(:,2) %intLcmpposInd{Intc1}
InterslstNegAdj{1}= intLnegSelAdj{DMsel(1)}(:,2) %intLcmpnegInd{Intc1}
elseif sum(ismember(DMsel,j))==1 % j>Intc1 && j<=IntcLst
InterslstPosAdj{1}=(intersect(InterslstPosAdj{1},intLposSelAdj{j}(:,2))); %,intLcmpposInd{j}))
InterslstNegAdj{1}=(intersect(InterslstNegAdj{1},intLnegSelAdj{j}(:,2))); %,intLcmpnegInd{j}))
end
%Convolute experiment spot index to get scan#, MP# and plateIndx needed
%later to obtain genename and other descriptors and correlate data
intLposDIndxAdj{j}(:,2)=ceil((intLposSelAdj{j}(:,2))/384); %mp plate numb column
intLposDIndxAdj{j}(:,3)=(rem(intLposSelAdj{j}(:,2),384));
nn=(intLposDIndxAdj{j}(:,3)==0);
intLposDIndx{j}(nn,3)= 384;
intLposDIndxAdj{j}(:,1)= j + (dmN*((intLposDIndxAdj{j}(:,2))-1)); %scan numb column %intLposDIndx(:,2)* intLposDIndx(:,3);
intLnegDIndxAdj{j}(:,2)=ceil((intLnegSelAdj{j}(:,2))/384); %mp plate numb column
intLnegDIndxAdj{j}(:,3)=(rem(intLnegSelAdj{j}(:,2),384));
nn=(intLposDIndxAdj{j}(:,3)==0);
intLnegDIndxAdj{j}(nn,3)= 384;
intLnegDIndxAdj{j}(:,1)= j + (dmN*((intLnegDIndxAdj{j}(:,2))-1)); %scan numb
end %j=1:dmN
%****************************************************************************************
%get interaction values for each DM drugmedia agar type
IntersValsPos= intLcmp(InterslstPos{1},DMsel);
IntersValsNeg= intLcmp(InterslstNeg{1},DMsel);
IntersValsPosAdj= intLadjcmp(InterslstPosAdj{1},DMsel);
IntersValsNegAdj= intLadjcmp(InterslstNegAdj{1},DMsel);
%*********************************************************
%Build 'genelist' data sheet for interactors
selIntPx{1}(:,6)=InterslstPos{1};
selIntPx{1}(:,2)=ceil((InterslstPos{1})/384); %mp plate numb column
selIntPx{1}(:,3)=(rem(InterslstPos{1},384));
nn=(selIntPx{1}(:,3)==0);
selIntPx{1}(nn,3)= 384;
selIntPx{1}(:,4)= ceil(selIntPx{1}(:,3)/24); %row numb
selIntPx{1}(:,5)= rem(selIntPx{1}(:,3),24);
mm=(selIntPx{1}(:,5)==0);
selIntPx{1}(mm,5)= 24;
selIntPx{1}(:,1)= j + (dmN*((selIntPx{1}(:,2))-1)); %scan numb column %intLposDIndx(:,2)* intLposDIndx(:,3);
selIntP= cell2mat(selIntPx);
selIntNx{1}(:,6)=InterslstNeg{1};
selIntNx{1}(:,2)=ceil((InterslstNeg{1})/384); %mp plate numb column
selIntNx{1}(:,3)=(rem(InterslstNeg{1},384));
nn=(selIntNx{1}(:,3)==0);
selIntNx{1}(nn,3)= 384;
selIntNx{1}(:,4)= ceil(selIntNx{1}(:,3)/24); %row numb
selIntNx{1}(:,5)= rem(selIntNx{1}(:,3),24);
mm=(selIntNx{1}(:,5)==0);
selIntNx{1}(mm,5)= 24;
selIntNx{1}(:,1)= j + (dmN*((selIntNx{1}(:,2))-1)); %scan numb
selIntN= cell2mat(selIntNx);
for i=1:size(selIntP,1)
IPgene(i)=Exp(expN).MP(selIntP(i,2)).genename{1}(selIntP(i,3));
IPorf(i)= Exp(expN).MP(selIntP(i,2)).orf{1}(selIntP(i,3));
IPstrain(i)= Exp(expN).MP(selIntP(i,2)).strain{1}(selIntP(i,3));
IPspecifics(i)=Exp(expN).MP(selIntP(i,2)).specifics{1}(selIntP(i,3));
IPorfRep(i)=Exp(expN).MP(selIntP(i,2)).orfRep{1}(selIntP(i,3));
%Bad this is the L data for only the last selected DM perturbation
%Would need to calculate each scan# for each DMsel value
ipL(i)= Exp(expN).scan(selIntP(i,1)).plate(1).CFout(selIntP(i,3),5);
ipLlower(i)= Exp(expN).scan(selIntP(i,1)).plate(1).CFout(selIntP(i,3),11);
ipLupper(i)= Exp(expN).scan(selIntP(i,1)).plate(1).CFout(selIntP(i,3),12);
%*************************************************************************
end
for i=1:size(selIntN,1)
INgene(i)=Exp(expN).MP(selIntN(i,2)).genename{1}(selIntN(i,3));
INorf(i)= Exp(expN).MP(selIntN(i,2)).orf{1}(selIntN(i,3));
INstrain(i)= Exp(expN).MP(selIntN(i,2)).strain{1}(selIntN(i,3));
INspecifics(i)=Exp(expN).MP(selIntN(i,2)).specifics{1}(selIntN(i,3));
INorfRep(i)=Exp(expN).MP(selIntN(i,2)).orfRep{1}(selIntN(i,3));
%Bad this is the L data for only the last selected DM perturbation
%Would need to calculate each scan# for each DMsel value
inL(i)= Exp(expN).scan(selIntN(i,1)).plate(1).CFout(selIntN(i,3),5);
inLlower(i)= Exp(expN).scan(selIntN(i,1)).plate(1).CFout(selIntN(i,3),11);
inLupper(i)= Exp(expN).scan(selIntN(i,1)).plate(1).CFout(selIntN(i,3),12);
%*************************************************************************
end
%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%**************************************************************************************
%ADJUSTED with STD and curve fit boundaries to produce more conservative interaction values
%Build 'genelist' data sheet for interactors
selIntPxAdj{1}(:,2)=ceil((InterslstPosAdj{1})/384); %mp plate numb column
selIntPxAdj{1}(:,3)=(rem(InterslstPosAdj{1},384));
nn=(selIntPxAdj{1}(:,3)==0);
selIntPxAdj{1}(nn,3)= 384;
selIntPxAdj{1}(:,4)= ceil(selIntPxAdj{1}(:,3)/24); %row numb
selIntPxAdj{1}(:,5)= rem(selIntPxAdj{1}(:,3),24);
mm=(selIntPxAdj{1}(:,5)==0);
selIntPxAdj{1}(mm,5)= 24;
selIntPxAdj{1}(:,1)= j + (dmN*((selIntPxAdj{1}(:,2))-1)); %scan numb column %intLposDIndx(:,2)* intLposDIndx(:,3);
selIntPAdj= cell2mat(selIntPxAdj);
selIntNxAdj{1}(:,2)=ceil((InterslstNegAdj{1})/384); %mp plate numb column
selIntNxAdj{1}(:,3)=(rem(InterslstNegAdj{1},384));
nn=(selIntNxAdj{1}(:,3)==0);
selIntNxAdj{1}(nn,3)= 384;
selIntNxAdj{1}(:,4)= ceil(selIntNxAdj{1}(:,3)/24); %row numb
selIntNxAdj{1}(:,5)= rem(selIntNxAdj{1}(:,3),24);
mm=(selIntNxAdj{1}(:,5)==0);
selIntNxAdj{1}(mm,5)= 24;
selIntNxAdj{1}(:,1)= j + (dmN*((selIntNxAdj{1}(:,2))-1)); %scan numb
selIntNAdj= cell2mat(selIntNxAdj);
for i=1:size(selIntPAdj,1)
IPgeneAdj(i)=Exp(expN).MP(selIntPAdj(i,2)).genename{1}(selIntPAdj(i,3));
IPorfAdj(i)= Exp(expN).MP(selIntPAdj(i,2)).orf{1}(selIntPAdj(i,3));
IPstrainAdj(i)= Exp(expN).MP(selIntPAdj(i,2)).strain{1}(selIntPAdj(i,3));
IPspecificsAdj(i)=Exp(expN).MP(selIntPAdj(i,2)).specifics{1}(selIntPAdj(i,3));
IPorfRepAdj(i)=Exp(expN).MP(selIntPAdj(i,2)).orfRep{1}(selIntPAdj(i,3));
%Bad this is the L data for only the last selected DM perturbation
%Would need to calculate each scan# for each DMsel value
ipLAdj(i)= Exp(expN).scan(selIntPAdj(i,1)).plate(1).CFout(selIntPAdj(i,3),5);
ipLlowerAdj(i)= Exp(expN).scan(selIntPAdj(i,1)).plate(1).CFout(selIntPAdj(i,3),11);
ipLupperAdj(i)= Exp(expN).scan(selIntPAdj(i,1)).plate(1).CFout(selIntPAdj(i,3),12);
%************************************************************************************
end
for i=1:size(selIntNAdj,1)
INgeneAdj(i)=Exp(expN).MP(selIntNAdj(i,2)).genename{1}(selIntNAdj(i,3));
INorfAdj(i)= Exp(expN).MP(selIntNAdj(i,2)).orf{1}(selIntNAdj(i,3));
INstrainAdj(i)= Exp(expN).MP(selIntNAdj(i,2)).strain{1}(selIntNAdj(i,3));
INspecificsAdj(i)=Exp(expN).MP(selIntNAdj(i,2)).specifics{1}(selIntNAdj(i,3));
INorfRepAdj(i)=Exp(expN).MP(selIntNAdj(i,2)).orfRep{1}(selIntNAdj(i,3));
%Bad this is the L data for only the last selected DM perturbation
%Would need to calculate each scan# for each DMsel value
inLAdj(i)= Exp(expN).scan(selIntNAdj(i,1)).plate(1).CFout(selIntNAdj(i,3),5);
inLlowerAdj(i)= Exp(expN).scan(selIntNAdj(i,1)).plate(1).CFout(selIntNAdj(i,3),11);
inLupperAdj(i)= Exp(expN).scan(selIntNAdj(i,1)).plate(1).CFout(selIntNAdj(i,3),12);
%*************************************************************************************
end
%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%Plot Histogram******************************************************
%subplotX=1;
figure
if strcmpi(subplotX,'Y')
for j=1:dmN
histLdata= intLwoRFsorted{j}(:,1); %intLcmp(385:(mpN-1)*384,j);
%histLadjData= intLadjcmp(385:(mpN-1)*384,j);
hgLdat{j}=histfitJR(histLdata,numBins,'kernel');
x{j}= get(hgLdat{j}(2),'xdata');
y{j}= get(hgLdat{j}(2),'ydata');
xb{j}=get(hgLdat{j}(1),'xdata');
yb{j}=get(hgLdat{j}(1),'ydata');
ybpostot{j}=sum(yb{j}(2,(xb{j}(1,:)>=0)));
ybnegtot{j}=sum(yb{j}(2,(xb{j}(1,:) <0)));
xbb(j,:)=xb{j}(2,:);
ybb(j,:)=yb{j}(2,:);
clf
end
% figure
for j=1:dmN
histLdata= intLwoRFsorted{j}(:,1); %intLcmp(385:(mpN-1)*384,j);
hgL{j}=subplot(2, 4, j), histfitJR(histLdata,numBins,'kernel') ; hold %hgL{j}=histfit(intLcmp(:,j),31,'kernel')
subplot(2, 4, j),plot(posIntboundryCentralVal(j), 1:3000,'--r')
subplot(2, 4, j),plot(negIntboundryCentralVal(j), 1:3000,'--g')
hold off
end
scnsize=get(0,'screensize')
pos1= [round(scnsize(3)/40), round(scnsize(4)/2 +(scnsize(3)/80)),...
round(scnsize(3) -round(scnsize(3)/80)),round(scnsize(4)/2 -round(scnsize(4)/80))]
set(gcf,'outerposition',pos1)
set(gcf,'Name', 'Interaction Values ');
figure
for j=1:dmN
histLadjData= intLwoRFsortedAdj{j}(:,1); %intLadjcmp(385:(mpN-1)*384,j);
hgLadj{j}=subplot(2, 4, j),histfitJR(histLadjData,numBins,'kernel') ; hold %hgLadj{j}=histfit(intLadjcmp(:,j),31,'kernel')
subplot(2, 4, j),plot(posIntboundryCentralValAdj(j), 1:3000,'--r')
subplot(2, 4, j),plot(negIntboundryCentralValAdj(j), 1:3000,'--g')
hold off
end
pos2= [round(scnsize(3)/40), round(scnsize(4)/30),...
round(scnsize(3) -scnsize(3)/80),round(scnsize(4)/2 -scnsize(4)/80)]
set(gcf,'outerposition',pos2)
set(gcf,'Name', 'Interaction Compensated by Standard Deviation and Upper/Lower Curvefit boundaries')
elseif strcmpi(subplotX,'N')
for j=1:dmN
histLdata= intLwoRFsorted{j}(:,1); %intLcmp(385:(mpN-1)*384,j);
histLadjData= intLwoRFsortedAdj{j}(:,1); %intLadjcmp(385:(mpN-1)*384,j);%intLadjcmp(385:(mpN-1)*384,j); %intLcmp(:,j); %intLadjcmp(:,j);
figure
hgL{j}=histfitJR(histLdata,numBins,'kernel') ; hold %hgL{j}=histfit(intLcmp(:,j),31,'kernel')
plot(posIntboundryCentralVal(j), 1:3000,'--r')
plot(negIntboundryCentralVal(j), 1:3000,'--g')
hold off
figure
hgLadj{j}=histfitJR(histLadjData,numBins,'kernel') ; hold %hgLadj{j}=histfit(intLadjcmp(:,j),31,'kernel')
plot(posIntboundryCentralValAdj(j), 1:3000,'--r')
plot(negIntboundryCentralValAdj(j), 1:3000,'--g')
hold off
x{j}= get(hgL{j}(2),'xdata')
y{j}= get(hgL{j}(2),'ydata');
xb{j}=get(hgL{j}(1),'xdata')
yb{j}=get(hgL{j}(1),'ydata')
ybpostot{j}=sum(yb{j}(2,(xb{j}(1,:)>=0)))
ybnegtot{j}=sum(yb{j}(2,(xb{j}(1,:) <0)))
xbb(j,:)=xb{j}(2,:);
ybb(j,:)=yb{j}(2,:);
end % for j= when subplotX~=1 standard one plot per figure
if strcmpi(subplotX,'N')
figure
bar3(ybb);
%xxbb=yb{1}(2,:);
%figure
end
else
end %if subplotX==1 histograms placed in subplot figure else multiple histogram plots
if strcmpi(subplotX,'Y')
figure
bar3(ybb);
set(gcf,'Name', 'Unfiltered Interaction Histogram for all DrugMedias; NoGrowth Interactors set to 100hr (highest bin)')
%xxbb=yb{1}(2,:);
%figure
end
EZintPrint
a=1