finding same gene combination

I have two datasets in 

final = 

      'Genes'   'T0&T2'  'T1&T3'  'T2&T4'  'T3&T5'  'T4&t6'    
      'YAR029W'    'd'       []       'd'       []      'd'
      'YBL095W'    'd'       []       []       'd'      'd'
      'YBL111C'    'u'       'u'     'u'       'u'      []
      'YBL113C'    'u'       'u'     'u'       'u'      'u'
      'YBR096W'    'u'       'u'     'u'       'u'      []
      'YBR138C'    'd'       []       []       'd'     'd'

Dataset1 = 

      'Genes'      'T0&T2'    'T1&T3'    'T2&T4'    'T3&T5'    'T4&T6'
      'YAR029W'    'dd'       'uu'       'dd'       'uu'       'du'   
      'YAR062W'    'du'       'uu'       'ud'       'uu'       'du'   
      'YAR068W'    'du'       'uu'       'uu'       'uu'       'uu'   
      'YBL095W'    'du'       'ud'       'ud'       'du'       'du'   
      'YBL111C'    'uu'       'uu'       'ud'       'ud'       'du'   
      'YBL113C'    'uu'       'uu'       'uu'       'ud'       'ud'   
      'YBR028C'    'du'       'uu'       'uu'       'ud'       'ud'   

I want to compare two datasets and display the result corresponding to dataset1,for example 

In variable final 'YAR029W' has values in intervals 'T0&T2','T2&T4','T4&t6',so i want to display as

'Genes'     'T0&T2'    'T2&T4'    'T4&t6'    
'YAR029W'    'd'        'd'        'd'
'YAR062W'    'du'       'ud'      'du'   
'YAR068W'    'du'        'uu'     'uu'   
'YBL095W'    'du'       'ud'      'du'        
'YBL111C'    'uu'        'ud'     'du'   
'YBL113C'    'uu'        'uu'     'ud'   
'YBR028C'    'du'        'uu'     'ud'  

for next gene 
'Genes'     'T0&T2'        'T3&T5'    'T4&t6'

'YBL095W'    'd'          'd'        'd' 
'YBL111C'    'uu'         'ud'       'du'   
'YBL113C'    'uu'         'ud'       'ud'   
'YBR028C'    'du'         'ud'       'ud' 

i want to display for all genes in 'final' please help

Answer 1

[per isakson]

I failed to come up with an algorithm based on dataset objects. I find the documentation hard to interpret. Here is an algorithm based on cell arrays. The result is in a structure, S, with one gene per field. I guess this dataset is not optimal for this problem.

function S = cssm()
  % I have two datasets in 
  final = {
        'Genes'   'T0&T2'  'T1&T3'  'T2&T4'  'T3&T5'  'T4&t6'    
        'YAR029W'    'd'       []       'd'       []      'd'
        'YBL095W'    'd'       []       []       'd'      'd'
        'YBL111C'    'u'       'u'     'u'       'u'      []
        'YBL113C'    'u'       'u'     'u'       'u'      'u'
        'YBR096W'    'u'       'u'     'u'       'u'      []
        'YBR138C'    'd'       []       []       'd'     'd'};

    Dataset1 = {
          'Genes'      'T0&T2'    'T1&T3'    'T2&T4'    'T3&T5'    'T4&T6'
          'YAR029W'    'dd'       'uu'       'dd'       'uu'       'du'   
          'YAR062W'    'du'       'uu'       'ud'       'uu'       'du'   
          'YAR068W'    'du'       'uu'       'uu'       'uu'       'uu'   
          'YBL095W'    'du'       'ud'       'ud'       'du'       'du'   
          'YBL111C'    'uu'       'uu'       'ud'       'ud'       'du'   
          'YBL113C'    'uu'       'uu'       'uu'       'ud'       'ud'   
          'YBR028C'    'du'       'uu'       'uu'       'ud'       'ud'   };
    for ff = 2 : size( final, 1 )
        is_data =  not( cellfun( @isempty, final( ff, 1:end ) ) );
        S.( final{ff,1} ) = Dataset1( :, is_data );
        S.( final{ff,1} )(ff,:) = final( ff, is_data );
    end
end

==============

S = cssm()
S = 
    YAR029W: {8x4 cell}
    YBL095W: {8x4 cell}
    YBL111C: {8x5 cell}
    YBL113C: {8x6 cell}
    YBR096W: {8x5 cell}
    YBR138C: {8x4 cell}
>> S.YAR029W
ans = 
    'Genes'      'T0&T2'    'T2&T4'    'T4&T6'
    'YAR029W'    'd'        'd'        'd'    
    'YAR062W'    'du'       'ud'       'du'   
    'YAR068W'    'du'       'uu'       'uu'   
    'YBL095W'    'du'       'ud'       'du'   
    'YBL111C'    'uu'       'ud'       'du'   
    'YBL113C'    'uu'       'uu'       'ud'   
    'YBR028C'    'du'       'uu'       'ud'

[Pat]

Thanks a lot ,but a small modification in 
for 'YBL095W',i need as (the value of 'YAR029W'
must not be displayed )
'YBL095W'  'd'  'd'  'd'
'YAR068W'  'du'  'uu'  'uu'
'YBL095W'  'du'  'du'  'du'
'YBL111C'  'uu'  'ud'  'du'
'YBL113C'  'uu'  'ud'  'ud'
'YBR028C'  'du'  'ud'  'ud'

for  'YBL111C' i need as (the values of ('YAR029W' 'YAR062W' must not be displayed)

'YBL111C'  'u'  'u'  'u'  'u'
'YBL095W'  'du'  'ud'  'ud'  'du'
'YBL111C'  'uu'  'uu'  'ud'  'ud'
'YBL113C'  'uu'  'uu'  'uu'  'ud'
'YBR028C'  'du'  'uu'  'uu'  'ud'

like these i need for all genes please help

[per isakson]

I'm not sure I find the rule from your examples. I'm I right that

"for 'YBL111C' i need as (the values of ('YAR029W' 'YAR062W' must not be displayed)" because 'YAR029W' and 'YAR062W' are above 'YBL111C' in the array, final.

and

"for 'YBL095W',i need as (the value of 'YAR029W' must not be displayed )" because 'YAR029W' is above 'YBL095W' in the array, final.

[per isakson]

I'm sure I don't understand the criteria for including rows.

At least half the problem is to specify what the algorithm should do. That is your task! Why shouldn't 'YAR062W' be included?

[Pat]

yes u r correct the above row for each gene must not be displayed ,the fist row should indicate it is 'u' or 'd' ,other rows are correct a per the code,but as specifeid by perisakson the above rows must not be displayed

please help

[per isakson]

You did not answer this one:

Why shouldn't 'YAR062W' be included?

I insist, you should try harder on the requirement specification. It's your problem not mine.

[Pat]

I could not understand ur comments ,where it should be included