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 (105)
  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 (30)
  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