bic.get.deseq.cds: Normalize raw count matrix using DESeq scaling method
In bic-mskcc/bicrnaseq: MSKCC Bioinformatics Core RNASeq

Normalize raw count matrix using DESeq scaling method

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bic.get.deseq.cds(raw.counts, conds, min.count = 10, libsizeQ = F,
  percentile = "100%", fitType = "parametric", method = "per-condition",
  sharingMode = "maximum")

`raw.counts`	Raw count matrix, where each column is a sample and each row is a gene
`conds`	vector of sample conditions, in the same order as column names in `raw.counts`
`min.count`	minimum total number of reads for a gene across samples; Default: 10
`libsizeQ`	logical to indicate we should use library size to normalize counts rather than DESeq's method [TO DO: RECHECK THIS]
`percentile`	string indicating percentile to use when normalizing by library size
`fitType`	See DESeq documentation. Default: "parameteric"
`method`	See DESeq documentation. Default: "per-condition"
`sharingMode`	See DESeq documentation. Default: "maximum"