Name
Title | ||
|---|---|---|
Network Based Algorithms For Module Extraction From Rnaseq Data: A Quantitative Assessment |
Abstract | ||
|---|---|---|
Genes participating in a common module may cause clinically similar diseases and shares the common genetic origin of their associated disease phenotypes. Identifying such modules may be helpful in system level understanding of biological and cellular processes or their disruption caused in associated diseases. The choose dofthe appropriate method for gene selection is a difficult task. In this work we discuss and compare selective module finding methods. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BIBM.2017.8217852 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) |
DocType | ISSN | Citations |
Conference | 2156-1125 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monica Jha | 1 | 0 | 1.69 |
| Pietro Hiram Guzzi | 2 | 547 | 65.85 |
| Pierangelo Veltri | 3 | 648 | 82.26 |
| Swarup Roy | 4 | 56 | 12.13 |