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call_for_papers [2014/10/28 19:25] okko |
call_for_papers [2014/12/05 00:08] (current) lhu [Call for papers] |
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| **Challenge data set** \\ | **Challenge data set** \\ | ||
| - | We propose a contest in three challenge data sets: | + | For CAMDA 2015, we have have compiled the following exciting contests: |
| - | * a Systems Biology challenge of meaningfully integrating multi-track -omics data featuring dual dose response profiles of drugs, | + | |
| - | * the prediction of clinical therapy response in children, with over 500 matched RNA-Seq and microarray expression profiles of glioblastoma patients, and | + | * The FDA SEQC consortium has compiled a series of synthetic benchmarks and applied use-cases to assess the performance of modern gene transcript expression profiling methods, for the first time systematically assessing RNA-Seq in a wider context. SEQC is providing two benchmark challenges to CAMDA 2015: |
| - | * the decoding of drug compatibility from an extremely large toxicology data set. | + | * A toxicogenomics study with matched NGS and microarray profiles for the response of over 100 rat livers to 27 chemicals with 9 different modes of action. |
| + | * A synthetic reference benchmark with built-in truths, spanning multiple NGS, microarray, and qPCR platforms. | ||
| + | * A selection of large-scale cancer studies of less well-studied diseases from the lastest data release of the International Cancer Genome Consortium (ICGC), including matched gene and microRNA expression profiles from RNA-Seq, somatic CNV, methylation, and protein expression profiles. Only processed data are provided due to access restrictions by ICGC. | ||
| Please see the [[contest_dataset|contest data set page]] for more information. | Please see the [[contest_dataset|contest data set page]] for more information. | ||
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