WormBase Tree Display for Expression_cluster: WBPaper00025032:cluster_10

WBPaper00025032:cluster_10 Description: C-lineage related expression profile.
  Species: Caenorhabditis elegans
  Algorithm: QT clustering
  Reference: WBPaper00025032
  Microarray_results: 171778_x_at
    171797_x_at
    171798_x_at
    171800_x_at
    171898_x_at
    171921_x_at
    171940_x_at
    171954_x_at
    171959_x_at
    171966_x_at
    171977_x_at
    171994_x_at
    172009_x_at
    172047_x_at
    172675_x_at
    172865_x_at
    172883_x_at
    172890_x_at
    172892_x_at
    172939_x_at
    172946_s_at
    173243_s_at
    173246_s_at
    173248_s_at
    173249_s_at
    173251_s_at
    173253_s_at
    173269_s_at
    173277_at
    173304_at
    173315_at
    173329_s_at
    173331_s_at
    173351_s_at
    173375_s_at
    173380_at
    173680_at
    173686_s_at
    173747_at
    173750_at
    173810_at
    173871_at
    173875_at
    173939_at
    174080_s_at
    174085_s_at
    174175_at
    174286_at
    174415_at
    174511_s_at
    174531_at
    174597_at
    174615_at
    174806_at
    174843_at
    175007_at
    175065_s_at
    175100_s_at
    175295_at
    175317_s_at
    175385_at
    175469_s_at
    175482_at
    176476_s_at
    176668_at
    177399_at
    178525_at
    178672_s_at
    183208_at
    183374_at
    183505_at
    185580_s_at
    187724_s_at
    187806_s_at
    187859_s_at
    188728_at
    188764_at
    189527_at
    189778_s_at
    192013_s_at
    192155_s_at
    192434_at
    192592_s_at
    192800_s_at
    192860_at
    192990_at
    192991_s_at
    193021_s_at
    193146_at
    193821_at
    194263_x_at
    171976_x_at
    172083_x_at
    173333_s_at
    173369_s_at
    175367_s_at
    175411_at
    176041_s_at
    190847_s_at
    192551_at
    192736_at
    192763_at
    192877_at
    194186_x_at
    171972_x_at
  Gene: WBGene00012722
    WBGene00004412
    WBGene00004430
    WBGene00004431
    WBGene00010221
    WBGene00001858
    WBGene00004445
    WBGene00004480
    WBGene00004487
    WBGene00019760
    WBGene00004489
    WBGene00004491
    WBGene00013236
    WBGene00002182
    WBGene00004441
    WBGene00004434
    WBGene00004490
    WBGene00004469
    WBGene00004436
    WBGene00004496
    WBGene00004446
    WBGene00004433
    WBGene00004488
    WBGene00004428
    WBGene00019466
    WBGene00012980
    WBGene00021350
    WBGene00004485
    WBGene00004450
    WBGene00004449
    WBGene00004427
    WBGene00004429
    WBGene00020160
    WBGene00012420
    WBGene00000383
    WBGene00016203
    WBGene00008745
    WBGene00004951
    WBGene00002065
    WBGene00001331
    WBGene00004413
    WBGene00004474
    WBGene00016913
    WBGene00000105
    WBGene00018743
    WBGene00004482
    WBGene00016121
    WBGene00002261
    WBGene00004862
    WBGene00004739
    WBGene00002247
    WBGene00008622
    WBGene00004448
    WBGene00004493
    WBGene00001101
    WBGene00304811
    WBGene00077761
    WBGene00016411
    WBGene00022416
    WBGene00016295
    WBGene00007531
    WBGene00007133
    WBGene00014772
    WBGene00009373
    WBGene00011599
    WBGene00010803
    WBGene00019102
    WBGene00022670
    WBGene00019492
    WBGene00023323
    WBGene00006725
    WBGene00020382
    WBGene00004494
    WBGene00004432
    WBGene00004495
    WBGene00004475
    WBGene00004483
    WBGene00004477
    WBGene00004470
    WBGene00006728
    WBGene00001169
    WBGene00004497
    WBGene00004456
    WBGene00022441
    WBGene00008563
    WBGene00004454
    WBGene00001794
    WBGene00004484
    WBGene00004440
    WBGene00002230
  Attribute_of: Microarray_experiment: WBPaper00025032:N2_0_min
      WBPaper00025032:N2_23_min
      WBPaper00025032:N2_41_min
      WBPaper00025032:N2_53_min
      WBPaper00025032:N2_66_min
      WBPaper00025032:N2_83_min
      WBPaper00025032:N2_101_min
      WBPaper00025032:N2_122_min
      WBPaper00025032:N2_143_min
      WBPaper00025032:N2_186_min
      WBPaper00025032:mex-3_skn-1_0_min
      WBPaper00025032:mex-3_skn-1_23_min
      WBPaper00025032:mex-3_skn-1_41_min
      WBPaper00025032:mex-3_skn-1_53_min
      WBPaper00025032:mex-3_skn-1_66_min
      WBPaper00025032:mex-3_skn-1_83_min
      WBPaper00025032:mex-3_skn-1_101_min
      WBPaper00025032:mex-3_skn-1_122_min
      WBPaper00025032:mex-3_skn-1_143_min
      WBPaper00025032:mex-3_skn-1_186_min
      WBPaper00025032:pie-1_0_min
      WBPaper00025032:pie-1_23_min
      WBPaper00025032:pie-1_41_min
      WBPaper00025032:pie-1_53_min
      WBPaper00025032:pie-1_66_min
      WBPaper00025032:pie-1_83_min
      WBPaper00025032:pie-1_101_min
      WBPaper00025032:pie-1_122_min
      WBPaper00025032:pie-1_143_min
      WBPaper00025032:pie-1_186_min
  Remark: This clustering algorithm assembles a series of clusters ordered by size with a defined limit on the largest pair-wise distance allowed between any two profiles in a cluster. Distance between profiles is measured as 1-R, where R is the Pearson correlation coefficient. Although we limited this distance to 0.3, some genes are included in clusters simply by chance. To reduce the spurious inclusion of these genes in the final clusters, we systematically re-sampled our data (100 times) with two forms of synthetic noise added at each reiteration to generate an Ravg. Noise was added to log2 scale RMA expression data, and was generated by a two-component model consisting of an additive Gaussian background with standard deviation 0.2, and a multiplicative Gaussian sampling error with a standard deviation of 0.05. Simulated data were floored at 1 RMA unit.
    Type: Co-expression Cluster