-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathSpeedJannesEvaluationClass.m
More file actions
186 lines (169 loc) · 8.1 KB
/
SpeedJannesEvaluationClass.m
File metadata and controls
186 lines (169 loc) · 8.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
classdef SpeedJannesEvaluationClass < SpeedEvaluationClass
properties
end
methods
%constructor
function S=SpeedJannesEvaluationClass(varargin)
S@SpeedEvaluationClass(varargin{:})
end
end
methods (Static)
function makeOverviewFigure(SpeedEvaluationClasses,folder)
if ~isempty(SpeedEvaluationClasses)
numFiles=length(SpeedEvaluationClasses);
slowresults=NaN(numFiles,2);
fastresults=NaN(numFiles,2);
meanresults=NaN(numFiles,2);
numMTs=NaN(numFiles,1);
lengthMTs=NaN(numFiles,4);
labels=cell(numFiles,1);
fileNames=cell(numFiles,1);
allSpeeds=cell(numFiles,1);
allLengths=cell(numFiles,1);
acquisitionDates=[];
for n=1:numFiles
if isa(SpeedEvaluationClasses{n}.Config, 'ConfigClass')
slowresults(n,:)=SpeedEvaluationClasses{n}.slowresult;
fastresults(n,:)=SpeedEvaluationClasses{n}.fastresult;
meanresults(n,:)=SpeedEvaluationClasses{n}.meanresult;
numMTs(n)=SpeedEvaluationClasses{n}.numMT;
lengthMTs(n,:)=SpeedEvaluationClasses{n}.lengthMT;
labels{n}=ellipsize(SpeedEvaluationClasses{n}.Config.StackName,20);
fileNames{n}=SpeedEvaluationClasses{n}.Config.StackName;
acquisitionDates=[acquisitionDates; SpeedEvaluationClasses{n}.Config.AcquisitionDate]; %#ok<AGROW>
if isfield(SpeedEvaluationClasses{n}.Results, 'Speed')
allSpeeds{n}=SpeedEvaluationClasses{n}.Results.Speed;
end
if isfield(SpeedEvaluationClasses{n}.Results, 'Length')
allLengths{n}=SpeedEvaluationClasses{n}.Results.Length;
end
end
end
try
save(fullfile(folder,'Speed_jannes_summary.mat'),'folder','meanresults','slowresults','fastresults','numMTs','lengthMTs','labels','fileNames','acquisitionDates','allSpeeds','allLengths','SpeedEvaluationClasses')
catch ME
ME.getReport
end
end
SpeedJannesEvaluationClass.jannesSummary(folder,allSpeeds,fileNames,SpeedEvaluationClasses);
end
function MedianIQRSpeeds=summarizeSpeeds(CombinedSpeeds,Alpha,CombinedFileNames)
MedianSpeeds=nanmedian(CombinedSpeeds);
MedianSpeeds(isnan(MedianSpeeds)) = [];
MedianIQRSpeeds=NaN(1,3);
fprintf('combining:\n');
cellfun(@(x) fprintf('%s\n',x),CombinedFileNames)
if length(MedianSpeeds)>1
CI=bootci(100000,{@median,MedianSpeeds},'alpha',Alpha,'Options',statset('UseParallel',true));
MedianIQRSpeeds(1,1)=CI(1); %prctile(MedianSpeeds,25);%25iqr
MedianIQRSpeeds(1,2)=median(MedianSpeeds);%median
MedianIQRSpeeds(1,3)=CI(2); %prctile(MedianSpeeds,75);%75iqr
end
end
function jannesSummary(folder,allSpeeds,fileNames,SpeedEvaluationClasses)
numFiles=length(allSpeeds);
numSamples=floor(numFiles/4);
x=1:numSamples;
CombinedSpeeds=cell(numSamples,1);
CombinedFileNames=cell(numSamples,1);
Labels=cell(numSamples,1);
MedianIQRSpeeds=zeros(numSamples,3);
Alpha=0.0000003; % 5 sigma = 0.0000003, 3 sigma = 0.003
CombinedControls=[];
for n=1:numSamples
CombinedSpeeds{n}=[allSpeeds{n*4-3} allSpeeds{n*4-2} allSpeeds{n*4-1} allSpeeds{n*4}];
CombinedFileNames{n}={fileNames{n*4-3};fileNames{n*4-2};fileNames{n*4-1};fileNames{n*4}};
Labels{n}=ellipsize(fileNames{n*4-3},20);
if (any(cellfun(@any,strfind(CombinedFileNames{n},'control'))))
CombinedControls=[CombinedControls CombinedSpeeds{n}]; %#ok<AGROW>
end
MedianIQRSpeeds(n,:)=SpeedJannesEvaluationClass.summarizeSpeeds(CombinedSpeeds{n},Alpha,CombinedFileNames{n});
if ~all(isnan(MedianIQRSpeeds(n,:)))
SpeedJannesEvaluationClass.sampleOverviewFigure(CombinedSpeeds{n}, MedianIQRSpeeds(n,:),SpeedEvaluationClasses(n*4-3:n*4));
end
end
pRankSumDisplay=NaN(numSamples,1);
% Assigning Values according to the significance for display in the
% plot later
if ~isempty(CombinedControls)
ControlMedianIQRSpeeds=SpeedJannesEvaluationClass.summarizeSpeeds(CombinedControls,Alpha);
UpperControl=ControlMedianIQRSpeeds(1,3);
LowerControl=ControlMedianIQRSpeeds(1,1);
for n=1:numSamples
if (UpperControl<MedianIQRSpeeds(n,1) || LowerControl>MedianIQRSpeeds(n,3))
pRankSumDisplay(n,1)=100;
end
end
end
numFigs=ceil(numSamples/32);
for n=1:numFigs
startData=(n-1)*32+1;
endData=n*32;
if endData>length(x)
endData=length(x);
end
%create an overview plot by stack name
fig1=createBasicFigure('Width', 29.7,'Aspect',29.7/21);
%set(fig1, 'Visible','on')
ax1=axes('Parent',fig1);
hold(ax1,'off');
plot1=bar(x(startData:endData),MedianIQRSpeeds(startData:endData,2),'Parent',ax1);
TextY=ones(endData).*max(MedianIQRSpeeds(startData:endData,3))+50;
text(x(startData:endData),TextY(startData:endData),num2str(MedianIQRSpeeds(startData:endData,2)),'HorizontalAlignment','center'); % display values of the medians
hold(ax1,'on');
if ~isempty(CombinedControls)
plot4=bar(numSamples+1,ControlMedianIQRSpeeds(2),'Parent',ax1);
plot4.FaceColor = 'red';
text(numSamples+1,ControlMedianIQRSpeeds(3)+50,num2str(ControlMedianIQRSpeeds(2)),'HorizontalAlignment','center');
plot6=errorbar(numSamples+1,ControlMedianIQRSpeeds(2),ControlMedianIQRSpeeds(2)-ControlMedianIQRSpeeds(1),ControlMedianIQRSpeeds(3)-ControlMedianIQRSpeeds(2),'Parent',ax1);
set(plot6(1),'DisplayName','');
end
plot2=errorbar(x(startData:endData),MedianIQRSpeeds(startData:endData,2),...
MedianIQRSpeeds(startData:endData,2)-MedianIQRSpeeds(startData:endData,1),...
MedianIQRSpeeds(startData:endData,3)-MedianIQRSpeeds(startData:endData,2),'Parent',ax1);
set(plot2,'LineStyle','none');
plot3=plot(x(startData:endData),pRankSumDisplay(startData:endData));
%Display significance of the statistical test with *
plot3(1).LineStyle = 'none';
plot3(1).Marker = '*';
plot3(1).MarkerSize = 10;
% Beschriftung der Daten im Fenster
set(plot1(1),'DisplayName','median speeds (nm/s)');% set(Handle,'PropertyName',PropertyValue)
set(plot2(1),'DisplayName','');
xlim(ax1,[startData-0.5 endData+1.5]);
set(ax1,'TickLabelInterpreter','none','XTick',(startData:endData+1),'XTickLabel',[Labels(startData:endData);{'combined controls'}]);
xticklabel_rotate([],90,'interpreter','none');
ylabel('median velocities (nm/s)','FontSize',14);
figurename=fullfile(folder,['SpeedJannesResultsSummary', num2str(n), '.pdf']);
saveas(fig1,figurename);
close(fig1);
end
end
function sampleOverviewFigure(CombinedSpeeds, MedianIQRSpeeds, SpeedEvaluationClasses)
Fig1=createBasicFigure();
%Fig1.Visible='on';
NumWells=length(SpeedEvaluationClasses);
S=SpeedJannesEvaluationClass;
S.Results.Speed=CombinedSpeeds;
S.Config=SpeedEvaluationClasses{1}.Config;
S.evaluateSpeeds;
%Create the subplot figure
Ax=subplot(NumWells+2,3,[1,6],'Parent',Fig1);
S.plotSpeedHistogram(Ax,1);
title(Ax, 'Combined Velocity Histogram');
%plot median and iqrs
IqrY=[0 max(S.count)*1.1];
hold(Ax,'on');
Color=[0.2 0.8, 0.2];
plot(Ax,[MedianIQRSpeeds(1) MedianIQRSpeeds(1)],IqrY,'--','LineWidth',1,'Color',Color);
plot(Ax,[MedianIQRSpeeds(2) MedianIQRSpeeds(2)],IqrY,'-','LineWidth',2,'Color',Color);
plot(Ax,[MedianIQRSpeeds(3) MedianIQRSpeeds(3)],IqrY,'--','LineWidth',1,'Color',Color);
for n=1:NumWells
SpeedEvaluationClasses{n}.speedFigure(Fig1,NumWells+2,3,n*3+4,n*3+5,n*3+6);
end
EvalName=fullfile(SpeedEvaluationClasses{1}.Config.Directory, [SpeedEvaluationClasses{1}.Config.StackName '_combined.pdf']);
saveas(Fig1,EvalName);
close(Fig1);
end
end
end