Name
Abstract | ||
|---|---|---|
In this article, we introduce a robust and efficient strategy for deriving global and allele-specific copy number alternations (CNA) from cancer whole exome sequencing data based on Log R ratios and B-allele frequencies. Applying the approach to the analysis of over 200 skin cancer samples, we demonstrate its utility for discovering distinct CNA events and for deriving ancillary information such as tumor purity. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/bioinformatics/btv676 | BIOINFORMATICS |
Field | DocType | Volume |
Genome,Data mining,Text mining,Computer science,Profiling (computer programming),Skin cancer,Bioinformatics,Exome sequencing,Cancer | Journal | 32 |
Issue | ISSN | Citations |
6 | 1367-4803 | 2 |
PageRank | References | Authors |
0.47 | 2 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuefeng Wang | 1 | 3 | 1.18 |
| Mengjie Chen | 2 | 4 | 1.34 |
| Xiaoqing Yu | 3 | 2 | 0.80 |
| Natapol Pornputtapong | 4 | 34 | 3.70 |
| Hao Chen | 5 | 2 | 0.80 |
| Nancy R. Zhang | 6 | 24 | 4.21 |
| R. Scott Powers | 7 | 2 | 0.47 |
| Michael Krauthammer | 8 | 758 | 64.81 |