| GDAC_TopgenesforCluster1 expfile | file:/xchip/cga/gdac-prod/tcga-gdac/jobResults/mRNAseq_preprocessor/BLCA-TP/3350935/BLCA-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt |
| GDAC_TopgenesforCluster1 selectedgenes | 1500 |
| GDAC_ConsensusClustering2 clustering algorithm | HIERARCHICAL |
| GDAC_ConsensusClustering2 cluster by | |
| GDAC_ConsensusClustering2 distance measure | PEARSON |
| GDAC_ConsensusClustering2 normalize type | -n2 |
| GDAC_selectBestcluster3 measure | Pearson |
| GDAC_selectBestcluster3 output | BLCA-TP |
| GDAC_selectBestcluster3 inputallexp | file:/xchip/cga/gdac-prod/tcga-gdac/jobResults/mRNAseq_preprocessor/BLCA-TP/3350935/BLCA-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt |
| GDAC_CnmfReports4 report | hclumRNAseq |
| Execution Times: | |
| Submitted: | 10:46:34 06-06-13 |
| Completed: | |
| Elapsed: | 00 hrs 12 mins 33 secs |
step 1. GDAC_TopgenesforCluster [id: 415654] This module can be used to selecte top genes with most variation, convert file to gct format, as well as imput missing value
urn:lsid:broadinstitute.org:cancer.genome.analysis:00205:29
| expfile | file:/xchip/cga/gdac-prod/tcga-gdac/jobResults/mRNAseq_preprocessor/BLCA-TP/3350935/BLCA-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt |
| selectedgenes | 1500 |
| outputprefix | outputprefix |
| Output Files: | |
| .lsf.out | |
| outputprefix.expclu.gct | |
| stdout.txt | |
| Execution Times: | |
| Submitted: | 10:46:37 06-06-13 |
| Completed: | 10:49:48 06-06-13 |
| Elapsed: | 00 hrs 03 mins 11 secs |
step 2. GDAC_ConsensusClustering [id: 415655] Resampling-based clustering method
urn:lsid:broadinstitute.org:cancer.genome.analysis:00158:6
| input filename | outputprefix.expclu.gct |
| kmax | 8 |
| resampling iterations | 20 |
| seed value | 12345 |
| clustering algorithm | HIERARCHICAL |
| cluster by | |
| distance measure | PEARSON |
| resample | subsample |
| merge type | average |
| descent iterations | 2000 |
| output stub | <input.filename_basename> |
| normalize type | -n2 |
| normalization iterations | 0 |
| create heat map | -p |
| heat map size | 2 |
| Execution Times: | |
| Submitted: | 10:46:37 06-06-13 |
| Completed: | 10:52:34 06-06-13 |
| Elapsed: | 00 hrs 05 mins 56 secs |
step 3. GDAC_selectBestcluster [id: 415656]
urn:lsid:broadinstitute.org:cancer.genome.analysis:00207:32
| measure | Pearson |
| inputexp | outputprefix.expclu.gct |
| output | BLCA-TP |
| file clu 2 | outputprefix.expclu.sub119.2.clu |
| file clu 3 | outputprefix.expclu.sub119.3.clu |
| file clu 4 | outputprefix.expclu.sub119.4.clu |
| file clu 5 | outputprefix.expclu.sub119.5.clu |
| file clu 6 | outputprefix.expclu.sub119.6.clu |
| file clu 7 | outputprefix.expclu.sub119.7.clu |
| file clu 8 | outputprefix.expclu.sub119.8.clu |
| inputallexp | file:/xchip/cga/gdac-prod/tcga-gdac/jobResults/mRNAseq_preprocessor/BLCA-TP/3350935/BLCA-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt |
| Execution Times: | |
| Submitted: | 10:46:37 06-06-13 |
| Completed: | 10:57:32 06-06-13 |
| Elapsed: | 00 hrs 10 mins 55 secs |
step 4. GDAC_CnmfReports [id: 415657]
urn:lsid:broadinstitute.org:cancer.genome.analysis:00414:21
| kclus | BLCA-TP.silfig.png |
| markers | BLCA-TP.seclectedSubclassmarkers.txt |
| bestclu | BLCA-TP.bestclus.txt |
| allcluster | BLCA-TP.allclusters.txt |
| cormatrix | BLCA-TP.cormatrix.png |
| file gif 2 | outputprefix.expclu.sub119.srt.2.gif |
| file gif 3 | outputprefix.expclu.sub119.srt.3.gif |
| file gif 4 | outputprefix.expclu.sub119.srt.4.gif |
| file gif 5 | outputprefix.expclu.sub119.srt.5.gif |
| file gif 6 | outputprefix.expclu.sub119.srt.6.gif |
| file gif 7 | outputprefix.expclu.sub119.srt.7.gif |
| file gif 8 | outputprefix.expclu.sub119.srt.8.gif |
| expdata | outputprefix.expclu.gct |
| markersP | BLCA-TP.seclectedSubclassmarkers.txt |
| heatmap | BLCA-TP.geneheatmap.png |
| heatmapall | BLCA-TP.geneheatmaptopgenes.png |
| report | hclumRNAseq |
| Output Files: | |
| nozzle.html | |
| .lsf.out | |
| nozzle.RData | |
| stdout.txt | |
| Execution Times: | |
| Submitted: | 10:46:37 06-06-13 |
| Completed: | 10:59:07 06-06-13 |
| Elapsed: | 00 hrs 12 mins 30 secs |
