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Sujatha Srinivasan

dblp:89/7625 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational science and engineering
compositional data analysis
0.812024
SurvBal: compositional microbiome balances for survival outcomes · Bioinform. 2024
Bioinformatics and computational biology › computational microbiology
microbiome analysis
0.812024
SurvBal: compositional microbiome balances for survival outcomes · Bioinform. 2024
Bioinformatics and computational biology
survival analysis
0.212024
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
YearPublicationVenuePosition
2024 SurvBal: compositional microbiome balances for survival outcomes
abstract
SUMMARY: 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