Demo Data from EDBT 2026 / reviewers in the wild / expert
Sujatha Srinivasan
dblp:89/7625
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-7267-3859ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 · 56% Computational science and engineering · 44% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
compositional data analysis |
0.8 | 1 | 2024 | SurvBal: compositional microbiome balances for survival outcomes · Bioinform. 2024 |
Bioinformatics and computational biology › computational microbiology
microbiome analysis |
0.8 | 1 | 2024 | SurvBal: compositional microbiome balances for survival outcomes · Bioinform. 2024 |
Bioinformatics and computational biology
survival analysis |
0.2 | 1 | 2024 | SurvBal: compositional microbiome balances for survival outcomes · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
stepwise selection · 0.8parametric survival model · 0.8cox proportional hazards model · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SurvBal: compositional microbiome balances for survival outcomesabstractSUMMARY: Identification of balances of bacterial taxa in relation to continuous and dichotomous outcomes is an increasingly frequent analytic objective in microbiome profiling experiments. SurvBal enables the selection of balances in relation to censored survival or time-to-event outcomes which are of considerable interest in many biomedical studies. The most commonly used survival models-the Cox proportional hazards and parametric survival models are included in the package, which are used in combination with step-wise selection procedures to identify the optimal associated balance of microbiome, i.e. the ratio of the geometric means of two groups of taxa's relative abundances. AVAILABILITY AND IMPLEMENTATION: The SurvBal R package and Shiny app can be accessed at https://github.com/yinglia/SurvBal and https://yinglistats.shinyapps.io/shinyapp-survbal/. Teresa Lee, Kai Marin, Xing Hua, Sujatha Srinivasan, David N. Fredricks, Wodan Ling |
Bioinform. | 5 |