Demo Data from EDBT 2026 / reviewers in the wild / expert
James M. Wettenhall
dblp:35/5962
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene expression analysis
differential expression analysis |
0.1 | 2 | 2006 | affylmGUI: a graphical user interface for linear modeling of single channel microarray data · Bioinform. 2006 limmaGUI: A graphical user interface for linear modeling of microarray data · Bioinform. 2004 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 2 | 2006 | affylmGUI: a graphical user interface for linear modeling of single channel microarray data · Bioinform. 2006 limmaGUI: A graphical user interface for linear modeling of microarray data · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
linear model · 0.1empirical bayes smoothing · 0.1empirical bayes shrinkage · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | affylmGUI: a graphical user interface for linear modeling of single channel microarray dataabstractSUMMARY: affylmGUI is a graphical user interface (GUI) to an integrated workflow for Affymetrix microarray data. The user is able to proceed from raw data (CEL files) to QC and pre-processing, and eventually to analysis of differential expression using linear models with empirical Bayes smoothing. Output of the analysis (tables and figures) can be exported to an HTML report. The GUI provides user-friendly access to state-of-the-art methods embodied in the Bioconductor software repository. AVAILABILITY: affylmGUI is an R package freely available from http://www.bioconductor.org. It requires R version 1.9.0 or later and tcl/tk 8.3 or later and has been successfully tested on Windows 2000, Windows XP, Linux (RedHat and Fedora distributions) and Mac OS/X with X11. Further documentation is available at http://bioinf.wehi.edu.au/affylmGUI CONTACT: [email protected]. James M. Wettenhall, Ken M. Simpson, Keith Satterley, Gordon K. Smyth |
Bioinform. | 1 |
| 2004 | limmaGUI: A graphical user interface for linear modeling of microarray dataabstractSUMMARY: limmaGUI is a graphical user interface (GUI) based on R-Tcl/Tk for the exploration and linear modeling of data from two-color spotted microarray experiments, especially the assessment of differential expression in complex experiments. limmaGUI provides an interface to the statistical methods of the limma package for R, and is itself implemented as an R package. The software provides point and click access to a range of methods for background correction, graphical display, normalization, and analysis of microarray data. Arbitrarily complex microarray experiments involving multiple RNA sources can be accomodated using linear models and contrasts. Empirical Bayes shrinkage of the gene-wise residual variances is provided to ensure stable results even when the number of arrays is small. Integrated support is provided for quantitative spot quality weights, control spots, within-array replicate spots and multiple testing. limmaGUI is available for most platforms on the which R runs including Windows, Mac and most flavors of Unix. AVAILABILITY: http://bioinf.wehi.edu.au/limmaGUI. James M. Wettenhall, Gordon K. Smyth |
Bioinform. | 1 |