global projectScansDir global projectName global matFile global defImParMat global printResultsDir global fotosResultsDir global pointMapsFile global pointMapsResultsDir ln=1; % Version compatability fixes if verLessThan('matlab','8.3') fd4=diff(sym('K / (1 + exp(-r* (t - l )))'),4); sols=solve(fd4); else % accomodate new matlab changes after 2014a syms t K r l; fd4=diff(K / (1 + exp(-r* (t - l ))),t,4); sols=solve(fd4); tmpswap=sols(1); sols(1)=sols(3); sols(3)=tmpswap; end % MPnum=ImParMat(1); % opt=questdlg('Print Results Only (RES), DB Only (DB), or Both','Results Printout Options','Res','DB','Both','Both'); opt='Res'; if ~exist('defImParMat','var') || isempty(defImParMat) % TODO needs explanation load(pointMapsFile); end destPerMP=ImParMat(2); % TODO this is weird, needs explanation load(matFile); load(mpdmFile) numOfDrgs=length(DM.drug); numOfMeds=length(DM.media); destPerMP=numOfDrgs; % TODO this should be rewritten or is unnecessary, what is this for % Determine the longest set of intensity(tPts) for the Experiment Data Set maxNumIntens=0; for n=1:size(scan,2) for m=1:size(scan(n).plate,2) maxNumIntens=max(maxNumIntens,size(scan(n).plate(m).intens,2)); end end % if length(projectScansDir) == max(strfind(projectScansDir,'\')) % localprojectScansDir=projectScansDir(1:end-1); % else % localprojectScansDir=projectScansDir; % end % DBupload=fullfile(drive,'EZdbFiles','DBupLOADfiles'); resultsFilename=fullfile(printResultsDir, 'results_elr.txt'); DBfilename=fullfile(printResultsDir, 'DbaseELr.txt'); if isequal(opt,'Res')||isequal(opt,'Both'),fid=fopen(resultsFilename,'w');end if isequal(opt,'DB')||isequal(opt,'Both'),fid2=fopen(DBfilename,'w');end if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid,'%d\t',ln); % Results header fprintf(fid,'%s\t\n',projectScansDir); ln=ln+1; fprintf(fid,'%d\t',ln); end mpCnt=0; totPlCnt=0; drgCnt=0; medCnt=0; try load(fullfile(fotosResultsDir,'Nbdg')) % Convolute scan array data into plates catch load(fullfile(pointMapsResultsDir,'Nbdg')) % Convolute scan array data into plates end for s=1:size(scan,2) % Convolute scan array data into plates DconB for DBcombo clear Diag try Diag(:,:,:,1)=sbdg{s}(1:1:24,16:-1:1,:); catch sbdg{s}; end for p=1:size((scan(s).plate),2) totPlCnt=totPlCnt+1; if destPerMP>1 && rem(totPlCnt,destPerMP)==1 mpCnt=mpCnt+1; end if destPerMP==1 mpCnt=mpCnt+1; end pertCnt=rem(totPlCnt,destPerMP); if pertCnt==0 pertCnt=destPerMP; end pert=strcat('Perturb_',num2str(pertCnt)); s % TODO seems wrong p % TODO seems wrong clear outCmat outCmat=scan(s).plate(p).CFout; % Print Time Point HEADER for each plate for newly added intensity data if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid, '\n'); ln=ln+1; fprintf(fid,'%d\t',ln); fprintf(fid,'Scan\tPlate\tRow\tCol\t'); try asd=cell2mat(scan(s).plate(1).CFparameters(1)); aucEndPt=strcat('AUC',num2str(asd(9))); catch asd=cell2mat(scan(s).plate(1).CFparameters{1,1}(1,384)); aucEndPt=strcat('AUC',num2str(asd(9))); end fprintf(fid, 'Num.\tDiagnostics\tDrug\tConc\tMedia\tModifier1\tConc1\tModifier2\tConc2\tORF\tGene'); fprintf(fid, '\t %s',aucEndPt); fprintf(fid, '\triseTm\tK\tr\tl\tR-squared\tK-lower\tK-upper\tr-lower\tr-upper\tl-lower\tl-upper\tArea\tLastInten\tSplineMaxRateTm\tLastFitTm\t1stFitTm\tMedianBase\tFitBase\tMinTm\tThreshTm'); if size(outCmat,2)==27 fprintf(fid, '\ttc11Cut\ttc12Cut\ttc21Cut\ttc22Cut'); % '\tEarly1\tEarly2\tLate1\tLate2'); 17_0629 MinBaseIntens update for MedianBase label end fprintf(fid, '\tTotFitPts\tPostThreshFitPts\t1stBackgrd\tLstBackgrd\t1stMeanTotBackgrd\tLstMeanTotBackgrd'); end clear outTseries outTseries=[]; outTseries=scan(s).plate(p).tSeries; TseriesSize=size(outTseries,1); clear outIntens outIntens=[]; RawIntens=[]; RawIntens=scan(s).plate(p).intens; RawIntensSize=size(RawIntens,2) clear Ag; %Ag is Growth Area Ag=scan(s).plate(p).Ag; AgSize=size(Ag); dataLength=min(TseriesSize,RawIntensSize); if isequal(opt,'Res')||isequal(opt,'Both') for j=1:dataLength fprintf(fid, '\t%.5f', outTseries(j)); end end numBlkCol=(maxNumIntens - dataLength); % size(outTseries,1)); if isequal(opt,'Res')||isequal(opt,'Both') for nn=1:numBlkCol % extend to col beyond longest rawDataSet fprintf(fid, '\t'); end fprintf(fid,'\tOrfRep'); fprintf(fid,'\tSpecifics'); fprintf(fid,'\tStrainBkGrd'); fprintf(fid, '\n'); ln=ln+1; fprintf(fid,'%d\t',ln); end % Data n=0; for r=1:16 for c=1:24 n=n+1; clear selcode; Kval=outCmat(n,3); rSq=outCmat(n,6); lval=outCmat(n,5); if Kval>160, selcode='K_Hi'; else selcode=' ';end if Kval<40, selcode=strcat(selcode,' K_Lo');end if rSq<.97 && rSq>0, selcode=strcat(selcode,' rSqLo');end if lval>(0.85*(max(outTseries))), selcode=strcat(selcode,' late');end if isnan(outCmat(n,7))||isnan(outCmat(n,8))||isnan(outCmat(n,9))... || isnan(outCmat(n,10))||isnan(outCmat(n,11))... || isnan(outCmat(n,12)), selcode=strcat(selcode,' NaN'); end % RiseTime Calculation K=(outCmat(n,3)); R=(outCmat(n,4)); L=(outCmat(n,5)); if R>0 && L>0 && K>0 rr=R; ll=L; tc1=eval(sols(2)); tc2=eval(sols(3)); LL=eval(sols(1)); riseTm=LL-tc1; else riseTm=0; end if Ag(n)< .30*(scan(s).Awindow),selcode=strcat(selcode,' smArea'); end if outCmat(n,3)==0,selcode=strcat('0 ',selcode);end orf=cell2mat(MP(mpCnt).orf{1}(n)); gene=cell2mat(MP(mpCnt).genename{1}(n)); orfRep=cell2mat(MP(mpCnt).orfRep{1}(n)); specifics=cell2mat(MP(mpCnt).specifics{1}(n)); strain=cell2mat(MP(mpCnt).strain{1}(n)); drug=char(DM.drug{pertCnt}); conc=char(DM.conc{pertCnt}); media=char(DM.media{pertCnt}); try mod1=char(DM.mod1{pertCnt}); conc1=char(DM.conc1{pertCnt}); catch mod1=' '; conc1=' '; end try mod2=char(DM.mod2{pertCnt}); conc2=char(DM.conc2{pertCnt}); catch mod2=' '; conc2=' '; end if ~isempty(outCmat) if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid,'%d\t %d\t %d\t %d\t %d\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t',s,p,r,c,n,selcode,drug,conc,media,mod1,conc1,mod2,conc2,orf,gene); fprintf(fid, '%.5f\t %.5f\t %.5f\t %.5f\t %.5f\t %.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,1),riseTm,outCmat(n,3),outCmat(n,4),... outCmat(n,5),outCmat(n,6),outCmat(n,7),outCmat(n,8),... outCmat(n,9),outCmat(n,10),outCmat(n,11),outCmat(n,12),... outCmat(n,13),outCmat(n,14),outCmat(n,15),outCmat(n,16)); fprintf(fid, '\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,17),outCmat(n,18),outCmat(n,19),... outCmat(n,20),outCmat(n,21)); % Added for data cut times used in 'r'optomized method 06/14/2018 if (size(outCmat,2) == 27) fprintf(fid, '\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,24),outCmat(n,25),outCmat(n,26),outCmat(n,27)); end fprintf(fid, '\t%d\t%d\t%d\t%d\t%d\t%d',... outCmat(n,22),outCmat(n,23),Diag(c,r,1,p),Diag(c,r,2,p),Diag(c,r,3,p),Diag(c,r,4,p)); %,Diag(r,c,3,p),Diag(r,c,4,p)); end % DBfile if isequal(opt,'DB')||isequal(opt,'Both') dbRsq=0;dbKup=0; dbKlo=0; dbrup=0; dbrlo=0; dbLlo=0; dbLup=0; if isnumeric(outCmat(n,6)), dbRsq=outCmat(n,6);end if isnumeric(outCmat(n,7)), dbKup=outCmat(n,7);end if isnumeric(outCmat(n,8)), dbKlo=outCmat(n,8);end if isnumeric(outCmat(n,9)), dbrup=outCmat(n,9);end if isnumeric(outCmat(n,10)), dbrlo=outCmat(n,10);end if isnumeric(outCmat(n,11)), dbLlo=outCmat(n,11);end if isnumeric(outCmat(n,12)), dbLup=outCmat(n,12);end end if isequal(opt,'DB')||isequal(opt,'Both') fprintf(fid2,'%s\t %d\t %d\t %d\t %d\t %d\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t',projectName,s,p,r,c,n,selcode,drug,conc,media,mod1,conc1,mod2,conc2,orf,gene); fprintf(fid2, '%.5f\t %.5f\t %.5f\t %.5f\t %.5f\t %.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,1),riseTm,outCmat(n,3),outCmat(n,4),... outCmat(n,5),dbRsq,dbKup,dbKlo,dbrup,dbrlo,dbLlo,dbLup); %\t%.5f\t%.5f\t%.5f\t%.5f end % Add Intensities series to end of curve fit data outIntens=[]; outIntens=zeros(384,dataLength); intensBlob=''; tmBlob=''; for j=1:dataLength %size(RawIntens,2) %size(outTseries,1) if Ag(n)==0,Ag(n)=scan(s).Awindow;end outIntens(n,j)=RawIntens(n,j)/Ag(n); if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid, '\t%.5f', outIntens(n,j)); % Results print Intens end if isequal(opt,'DB')||isequal(opt,'Both') if j1 &&rem(totPlCnt,destPerMP)==1, mpCnt=mpCnt+1; end if destPerMP==1,mpCnt=mpCnt+1; end pertCnt=rem(totPlCnt,destPerMP); if pertCnt==0, pertCnt= destPerMP;end pert=strcat('Perturb_',num2str(pertCnt)); s % BCR seems wrong %Print Time Point HEADER for each plate for newly added intensity data if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid, '\n'); ln=ln+1; fprintf(fid,'%d\t',ln); fprintf(fid,'Scan\tPlate\tRow\tCol\t'); try asd=cell2mat(scan(s).plate(1).CFparameters(1)); aucEndPt=strcat('AUC',num2str(asd(9))); catch asd=cell2mat(scan(s).plate(1).CFparameters{1,1}(1,384)); aucEndPt=strcat('AUC',num2str(asd(9))); end fprintf(fid, 'Num.\tDiagnostics\tDrug\tConc\tMedia\tModifier1\tConc1\tModifier2\tConc2\tORF\tGene'); fprintf(fid, '\t %s',aucEndPt); fprintf(fid, '\triseTm\tK\tr\tl\tR-squared\tK-lower\tK-upper\tr-lower\tr-upper\tl-lower\tl-upper\tArea\tLastInten\tSplineMaxRateTm\tLastFitTm\t1stFitTm\tMedianBase\tFitBase\tMinTm\tThreshTm\tTotFitPts\tPostThreshFitPts\t1stBackgrd\tLstBackgrd\t1stMeanTotBackgrd\tLstMeanTotBackgrd'); %17_0629 MinBaseIntens update for MedianBase label end clear outTseries outTseries=[]; outTseries=scan(s).plate(p).tSeries; TseriesSize= size(outTseries,1); clear outCmat outCmat=scan(s).plate(p).CFoutStd; clear outIntens outIntens=[]; RawIntens=[]; RawIntens=scan(s).plate(p).intens; RawIntensSize=size(RawIntens,2); clear Ag; %Ag is Growth Area Ag=scan(s).plate(p).Ag; AgSize= size(Ag); dataLength= min(TseriesSize,RawIntensSize); if isequal(opt,'Res')||isequal(opt,'Both') for j=1:dataLength fprintf(fid, '\t%.5f', outTseries(j)); end end numBlkCol=(maxNumIntens - dataLength); %size(outTseries,1)); if isequal(opt,'Res')||isequal(opt,'Both') for nn=1:numBlkCol %extend to col beyond longest rawDataSet fprintf(fid, '\t'); end fprintf(fid,'\tOrfRep'); fprintf(fid,'\tSpecifics'); fprintf(fid,'\tStrainBkGrd'); fprintf(fid, '\n'); ln=ln+1; fprintf(fid,'%d\t',ln); end % Data n=0; for r=1:16 for c=1:24 n=n+1; clear selcode; Kval=outCmat(n,3); rSq=outCmat(n,6); lval=outCmat(n,5); if Kval>160, selcode='K_Hi'; else selcode=' ';end if Kval<40, selcode=strcat(selcode,' K_Lo');end % TODO sprintf if you want a space if rSq<.97 && rSq>0, selcode=strcat(selcode,' rSqLo');end if lval>(0.85*(max(outTseries))), selcode=strcat(selcode,' late');end if isnan(outCmat(n,7))||isnan(outCmat(n,8))||isnan(outCmat(n,9))... ||isnan(outCmat(n,10))||isnan(outCmat(n,11))... ||isnan(outCmat(n,12)), selcode=strcat(selcode,' NaN'); end % RiseTime Calculation K=(outCmat(n,3)); R=(outCmat(n,4)); L=(outCmat(n,5)); if R>0 && L>0 && K>0 rr=R; ll=L; tc1=eval(sols(2)); tc2=eval(sols(3)); LL=eval(sols(1)); riseTm= LL-tc1; else riseTm=0; end if Ag(n)< .30*(scan(s).Awindow),selcode=strcat(selcode,' smArea'); end % same, need sprintf for space if outCmat(n,3)==0,selcode=strcat('0 ',selcode); end orf=cell2mat(MP(mpCnt).orf{1}(n)); gene=cell2mat(MP(mpCnt).genename{1}(n)); orfRep=cell2mat(MP(mpCnt).orfRep{1}(n)); specifics=cell2mat(MP(mpCnt).specifics{1}(n)); strain=cell2mat(MP(mpCnt).strain{1}(n)); drug=char(DM.drug{pertCnt}); conc=char(DM.conc{pertCnt}); media=char(DM.media{pertCnt}); try mod1=char(DM.mod1{pertCnt}); conc1=char(DM.conc1{pertCnt}); catch mod1=' '; conc1=' '; end try mod2=char(DM.mod2{pertCnt}); conc2=char(DM.conc2{pertCnt}); catch mod2=' '; conc2=' '; end if ~isempty(outCmat) if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid,'%d\t %d\t %d\t %d\t %d\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t',s,p,r,c,n,selcode,drug,conc,media,mod1,conc1,mod2,conc2,orf,gene); fprintf(fid, '%.5f\t %.5f\t %.5f\t %.5f\t %.5f\t %.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,1),riseTm,outCmat(n,3),outCmat(n,4),... outCmat(n,5),outCmat(n,6),outCmat(n,7),outCmat(n,8),... outCmat(n,9),outCmat(n,10),outCmat(n,11),outCmat(n,12),... outCmat(n,13),outCmat(n,14),outCmat(n,15),outCmat(n,16)); fprintf(fid, '\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%d\t%d',... outCmat(n,17),outCmat(n,18),outCmat(n,19),... outCmat(n,20),outCmat(n,21),outCmat(n,22),outCmat(n,23)); fprintf(fid, '\t%d\t%d\t%d\t%d',... Diag(c,r,1,p),Diag(c,r,2,p),Diag(c,r,3,p),Diag(c,r,4,p)); %,Diag(r,c,3,p),Diag(r,c,4,p)); end % DBFile % RiseTime calculation if isequal(opt,'DB')||isequal(opt,'Both') dbRsq= 0;dbKup= 0; dbKlo= 0; dbrup= 0; dbrlo= 0; dbLlo= 0; dbLup= 0; if isnumeric(outCmat(n,6)), dbRsq= outCmat(n,6);end if isnumeric(outCmat(n,7)), dbKup= outCmat(n,7);end if isnumeric(outCmat(n,8)), dbKlo= outCmat(n,8);end if isnumeric(outCmat(n,9)), dbrup= outCmat(n,9);end if isnumeric(outCmat(n,10)), dbrlo= outCmat(n,10);end if isnumeric(outCmat(n,11)), dbLlo= outCmat(n,11);end if isnumeric(outCmat(n,12)), dbLup= outCmat(n,12);end end if isequal(opt,'DB')||isequal(opt,'Both') fprintf(fid2,'%s\t %d\t %d\t %d\t %d\t %d\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t %s\t',projectName,s,p,r,c,n,selcode,drug,conc,media,mod1,conc1,mod2,conc2,orf,gene); fprintf(fid2, '%.5f\t %.5f\t %.5f\t %.5f\t %.5f\t %.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f\t%.5f',... outCmat(n,1),riseTm,outCmat(n,3),outCmat(n,4),... outCmat(n,5),dbRsq,dbKup,dbKlo,... dbrup,dbrlo,dbLlo,dbLup); end % DB Analysis % Add Intensities series to end of curve fit data outIntens=[]; outIntens=zeros(384,dataLength); intensBlob=''; tmBlob=''; for j=1:dataLength %size(RawIntens,2) %size(outTseries,1) if Ag(n)==0,Ag(n)=scan(s).Awindow;end outIntens(n,j)= RawIntens(n,j)/Ag(n); if isequal(opt,'Res')||isequal(opt,'Both') fprintf(fid, '\t%.5f', outIntens(n,j)); % Results print Intens end if isequal(opt,'DB')||isequal(opt,'Both') if j