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The 2-class experiments, on the other hand, were performed with all datasets described in Table 3 excluding the neutral sentences.
To provide a holistic evaluation for all datasets described above, we produced a scatter plot for each dataset to illustrate the inferred versus real expression values for all genes and all time points.
All datasets described in this paper, including 8 RNA-Seq samples, 62 ChIP-Seq samples and 12 ChIP-Seq inputs, have been deposited in NCBI Gene Expression Omnibus under access # GSE50466.
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As the B-ALL dataset described here was processed in a single batch and each sample analyzed relative to other members of the batch, the RMA procedure was utilized.
All the simulated datasets described above contained 2,500 random reads (i.e. reads that were generated by choosing randomly a nucleotide for each position), which could not be mapped onto the reference genome.
We have collected the 1726 motifs for all the datasets described in Table 6.
To apply this network-based methodology, we used gene expression data from all five datasets described above and made use of these expression levels to deduce pathway metrics.
After manual assessment and quality control, all 80 datasets described above were individually pre-processed (background correction, normalization and computation of expression values) according to methods described by Hubbell et al. (13) using the 'affy' R package from Bioconductor (14), which assures uniformity of the analysis process.
Availability: All annotated datasets described in this study are freely available from the NLM/NCBI website at http://www.ncbi.nlm.nih.gov/CBBresearch/Fellows/Neveol/DepositionDataSets.zip Contact: [email protected]; [email protected]; [email protected] Supplementary Information: Supplementary data are available at Bioinformatics online.
Our algorithm is able to efficiently detect a complete and non-redundant set of closed subsequential patterns for all yeast TCGx datasets (described below) in several seconds.
We computed a P-value for the correlation between our results and all of the datasets described in Table 2, and found these to be significantly correlated (P<0.001 based on Monte Carlo simulations).
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