EDBT 2026 Demo / reviewers in the wild / expert
Won Sang Park
dblp:97/2542
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
array CGH analysis |
0.1 | 1 | 2005 | ArrayCyGHt: a web application for analysis and visualization of array-CGH data · Bioinform. 2005 |
Bioinformatics and computational biology › cancer genomics › copy number analysis
copy number aberration analysis |
0.1 | 1 | 2005 | ArrayCyGHt: a web application for analysis and visualization of array-CGH data · Bioinform. 2005 |
Bioinformatics and computational biology › genomics
genomic data analysis |
0.1 | 1 | 2005 | ArrayCyGHt: a web application for analysis and visualization of array-CGH data · Bioinform. 2005 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2005 | ArrayCyGHt: a web application for analysis and visualization of array-CGH data · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.1normalization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | ArrayCyGHt: a web application for analysis and visualization of array-CGH dataabstractSummary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format. Availability: ArrayCyGHt can be accessed at http://genomics.catholic.ac.kr/arrayCGH/ Contact: [email protected] Supplementary information: Technical documentation is available. See http://genomics.catholic.ac.kr/arrayCGH/ Su Young Kim, Suk Woo Nam, Sug Hyung Lee, Won Sang Park, Nam Jin Yoo, Jung Young Lee, Yeun-Jun Chung |
Bioinform. | 4 |