Demo Data from EDBT 2026 / reviewers in the wild / expert
Alida Palmisano
dblp:08/4065
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-1859-3719ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
pharmacogenomics |
0.6 | 1 | 2022 | TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs · Bioinform. 2022 |
Bioinformatics and computational biology › transcriptomics
transcriptional response analysis |
0.6 | 1 | 2022 | TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs · Bioinform. 2022 |
Bioinformatics and computational biology › computational oncology
cancer cell line analysis |
0.2 | 1 | 2022 | TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugsabstractSUMMARY: The NCI Transcriptional Pharmacodynamics Workbench (NCI TPW) is an extensive compilation of directly measured transcriptional responses to anti-cancer agents across the well-characterized NCI-60 cancer cell lines. The NCI TPW data are publicly available through a web interface that allows limited user interaction with the data. We developed 'TPWshiny' as a standalone, easy to install, R application to facilitate more interactive data exploration.With no programming skills required, TPWshiny provides an intuitive and comprehensive graphical interface to help researchers understand the response of tumor cell lines to 15 therapeutic agents. The data are presented in interactive scatter plots, heatmaps, time series and Venn diagrams. Data can be queried by drug concentration, time point, gene and tissue type. Researchers can download the data for further analysis. AVAILABILITY AND IMPLEMENTATION: Users can download the ready-to-use, self-extracting package for Windows or macOS, and R source code from the project website (https://brb.nci.nih.gov/TPWshiny/). TPWshiny documentation and additional information can be found on the project website. Peter Zhang, Alida Palmisano, Ming-Chung Li, James H. Doroshow, Yingdong Zhao |
Bioinform. | 2 |
| 2017 | OpenGeneMed: a portable, flexible and customizable informatics hub for the coordination of next-generation sequencing studies in support of precision medicine trialsabstractTrials involving genomic-driven treatment selection require the coordination of many teams interacting with a great variety of information. The need of better informatics support to manage this complex set of operations motivated the creation of OpenGeneMed. OpenGeneMed is a stand-alone and customizable version of GeneMed (Zhao et al. GeneMed: an informatics hub for the coordination of next-generation sequencing studies that support precision oncology clinical trials. Cancer Inform 2015;14(Suppl 2):45), a web-based interface developed for the National Cancer Institute Molecular Profiling-based Assignment of Cancer Therapy (NCI-MPACT) clinical trial coordinated by the NIH. OpenGeneMed streamlines clinical trial management and it can be used by clinicians, lab personnel, statisticians and researchers as a communication hub. It automates the annotation of genomic variants identified by sequencing tumor DNA, classifies the actionable mutations according to customizable rules and facilitates quality control in reviewing variants. The system generates summarized reports with detected genomic alterations that a treatment review team can use for treatment assignment. OpenGeneMed allows collaboration to happen seamlessly along the clinical pipeline; it helps reduce errors made transferring data between groups and facilitates clear documentation along the pipeline. OpenGeneMed is distributed as a stand-alone virtual machine, ready for deployment and use from a web browser; its code is customizable to address specific needs of different clinical trials and research teams. Examples on how to change the code are provided in the technical documentation distributed with the virtual machine. In summary, OpenGeneMed offers an initial set of features inspired by our experience with GeneMed, a system that has been proven to be efficient and successful for coordinating the application of next-generation sequencing in the NCI-MPACT trial. Alida Palmisano, Yingdong Zhao, Ming-Chung Li, Eric C. Polley, Richard M. Simon |
Briefings Bioinform. | 1 |