Name
Abstract | ||
|---|---|---|
Here, we present an extension of our is form quantification method that accommodates paired end RNA Sequencing data. We explore several alternate methods of partitioning read count data in order to better exploit the available fragment size distribution, and to reduce the variance in the resulting estimates. In many cases, this significantly improves the accuracy of our approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BIBM.2011.102 | Bioinformatics and Biomedicine |
Keywords | Field | DocType |
isoform quantification,sequencing data,improved rna-seq partitions,alternate method,count data,linear models,form quantification method,available fragment size distribution,end rna,rna,bioinformatics,linear model,rna seq | Data mining,RNA,Gene isoform,RNA-Seq,Linear model,Computer science,Count data,Bioinformatics | Conference |
ISSN | ISBN | Citations |
2156-1125 | 978-1-4577-1799-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian E. Howard | 1 | 26 | 4.24 |
| Paola Veronese | 2 | 0 | 0.68 |
| Steffen Heber | 3 | 219 | 22.88 |