Dear all, 

I have been successful so far in plotting matrices and getting the regression 
line. But, as the matrices contains values like 1 and 0 (diagonal line) which 
is actually not needed as they are for the same gene, is creating bias in my 
regression line. I wish to neglect that part of the matrix and read the rest 
and plot the matrices again. 

I am attaching two matrices here for your reference. 

Can anyone please help me regarding that. 

Thanks very much. 

Urmi



       
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1       -0.012096       -0.100857       -0.069916       -0.097162       
0.007382        0.49239 -0.083894       0.383229        0.122648        
-0.133041       0.378121        -0.064975       0.475417        -0.156476       
-0.080742
-0.012096       1       -0.105556       0.113937        -0.092952       
0.174718        0.08174 0.064185        -0.004801       0.118615        
0.073362        0.025144        -0.051149       0.005549        0.144066        
-0.045014
-0.100857       -0.105556       1       0.048302        -0.065759       
-0.021766       -0.089656       -0.026402       -0.187463       0.115297        
-0.094202       -0.179138       -0.036165       -0.106557       -0.087692       
0.675215
-0.069916       0.113937        0.048302        1       0.025407        
0.016662        0.009761        0.302218        -0.15783        0.004884        
-0.0539 0.06716 0.078652        -0.047702       -0.000423       -0.037833
-0.097162       -0.092952       -0.065759       0.025407        1       
-0.018238       -0.087263       0.021593        -0.078723       -0.110616       
0.127107        -0.02927        -0.094423       -0.048349       0.019307        
-0.05013
0.007382        0.174718        -0.021766       0.016662        -0.018238       
1       -0.01282        -0.015617       0.084991        -0.061002       
-0.017901       -0.02836        -0.023457       0.002727        0.675366        
-0.016839
0.49239 0.08174 -0.089656       0.009761        -0.087263       -0.01282        
1       0.103351        0.545116        0.137995        -0.120075       
0.335196        -0.036118       0.454495        -0.186613       -0.069724
-0.083894       0.064185        -0.026402       0.302218        0.021593        
-0.015617       0.103351        1       -0.082256       0.022675        
0.029452        0.010494        -0.039677       -0.04907        -0.019435       
-0.035206
0.383229        -0.004801       -0.187463       -0.15783        -0.078723       
0.084991        0.545116        -0.082256       1       0.087963        
0.212369        0.413117        -0.03035        0.576147        0.169672        
-0.140684
0.122648        0.118615        0.115297        0.004884        -0.110616       
-0.061002       0.137995        0.022675        0.087963        1       
0.066721        0.100693        -0.105733       0.054071        -0.080891       
-0.123128
-0.133041       0.073362        -0.094202       -0.0539 0.127107        
-0.017901       -0.120075       0.029452        0.212369        0.066721        
1       0.19798 -0.097407       -0.115526       0.167922        -0.058937
0.378121        0.025144        -0.179138       0.06716 -0.02927        
-0.02836        0.335196        0.010494        0.413117        0.100693        
0.19798 1       -0.105542       0.224735        0.079891        -0.165202
-0.064975       -0.051149       -0.036165       0.078652        -0.094423       
-0.023457       -0.036118       -0.039677       -0.03035        -0.105733       
-0.097407       -0.105542       1       -0.062121       -0.062172       
-0.023992
0.475417        0.005549        -0.106557       -0.047702       -0.048349       
0.002727        0.454495        -0.04907        0.576147        0.054071        
-0.115526       0.224735        -0.062121       1       -0.025131       
-0.086425
-0.156476       0.144066        -0.087692       -0.000423       0.019307        
0.675366        -0.186613       -0.019435       0.169672        -0.080891       
0.167922        0.079891        -0.062172       -0.025131       1       
-0.075676
-0.080742       -0.045014       0.675215        -0.037833       -0.05013        
-0.016839       -0.069724       -0.035206       -0.140684       -0.123128       
-0.058937       -0.165202       -0.023992       -0.086425       -0.075676       
1
0       1.701634        1.732966        1.638478        1.804548        
1.679982        1.808682        1.907909        1.782082        1.820282        
1.393257        1.568896        2.014273        1.40849 1.730805        1.645146
1.701634        0       1.166662        1.072174        1.238244        
1.113678        1.58344 1.682667        1.55684 1.59504 1.423253        
1.961898        2.407275        1.801492        2.123807        2.038148
1.732966        1.166662        0       0.548174        0.977588        
0.853022        1.614772        1.713999        1.588172        1.626372        
1.454585        1.99323 2.438607        1.832824        2.155139        2.06948
1.638478        1.072174        0.548174        0       0.8831  0.758534        
1.520284        1.619511        1.493684        1.531884        1.360097        
1.898742        2.344119        1.738336        2.060651        1.974992
1.804548        1.238244        0.977588        0.8831  0       0.728972        
1.686354        1.785581        1.659754        1.697954        1.526167        
2.064812        2.510189        1.904406        2.226721        2.141062
1.679982        1.113678        0.853022        0.758534        0.728972        
0       1.561788        1.661015        1.535188        1.573388        
1.401601        1.940246        2.385623        1.77984 2.102155        2.016496
1.808682        1.58344 1.614772        1.520284        1.686354        
1.561788        0       0.477421        1.199876        1.238076        
1.530301        2.068946        2.514323        1.90854 2.230855        2.145196
1.907909        1.682667        1.713999        1.619511        1.785581        
1.661015        0.477421        0       1.299103        1.337303        
1.629528        2.168173        2.61355 2.007767        2.330082        2.244423
1.782082        1.55684 1.588172        1.493684        1.659754        
1.535188        1.199876        1.299103        0       0.823034        
1.503701        2.042346        2.487723        1.88194 2.204255        2.118596
1.820282        1.59504 1.626372        1.531884        1.697954        
1.573388        1.238076        1.337303        0.823034        0       
1.541901        2.080546        2.525923        1.92014 2.242455        2.156796
1.393257        1.423253        1.454585        1.360097        1.526167        
1.401601        1.530301        1.629528        1.503701        1.541901        
0       1.653521        2.098898        1.493115        1.81543 1.729771
1.568896        1.961898        1.99323 1.898742        2.064812        
1.940246        2.068946        2.168173        2.042346        2.080546        
1.653521        0       0.988747        1.51847 1.840785        1.755126
2.014273        2.407275        2.438607        2.344119        2.510189        
2.385623        2.514323        2.61355 2.487723        2.525923        
2.098898        0.988747        0       1.963847        2.286162        2.200503
1.40849 1.801492        1.832824        1.738336        1.904406        1.77984 
1.90854 2.007767        1.88194 1.92014 1.493115        1.51847 1.963847        
0       1.054405        0.968746
1.730805        2.123807        2.155139        2.060651        2.226721        
2.102155        2.230855        2.330082        2.204255        2.242455        
1.81543 1.840785        2.286162        1.054405        0       0.722953
1.645146        2.038148        2.06948 1.974992        2.141062        
2.016496        2.145196        2.244423        2.118596        2.156796        
1.729771        1.755126        2.200503        0.968746        0.722953        0
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