Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Statistical models for RNA-seq data derived from a two-condition
  48-replicate experiment   High-throughput RNA sequencing (RNA-seq) is now the standard method to
determine differential gene expression. Identifying differentially expressed
genes crucially depends on estimates of read count variability. These estimates
are typically based on statistical models such as the negative binomial
distribution, which is employed by the tools edgeR, DESeq and cuffdiff. Until
now, the validity of these models has usually been tested on either
low-replicate RNA-seq data or simulations. A 48-replicate RNA-seq experiment in
yeast was performed and data tested against theoretical models. The observed
gene read counts were consistent with both log-normal and negative binomial
distributions, while the mean-variance relation followed the line of constant
dispersion parameter of ~0.01. The high-replicate data also allowed for strict
quality control and screening of bad replicates, which can drastically affect
the gene read-count distribution. RNA-seq data have been submitted to ENA
archive with project ID PRJEB5348.

11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
18
The categories of this paper are: econ
1
The categories of this paper are: cs
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an