Anuradha Surendra

Imputation for Lipidomics and Metabolomics (ImpLiMet): Online application for optimization and method selection for missing data imputation

ImpLiMet is a platform that helps users select the best missing data imputation method by testing eight approaches and evaluating their impact through statistical and visualization tools.

Projection Statistics ProST Online statistical assessment of group separation in data projection analysis

ProST provides a user-friendly tool for assessing the statistical significance of group separation in data projection analysis using PCA, t-SNE, UMAP, and LDA.

METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance

META-BOA provides a web tool to balance metabolomics data using over-sampling algorithms and evaluates their impact through visualization and classification.

BATL: Bayesian annotations for targeted lipidomics

BATL is a Bayesian classifier for targeted lipidomics that annotates LC-ESI-MS/MS peaks with high accuracy using eight features, achieving over 95% correct identification in SRM datasets.

Potential involvement of monoamine oxidase activity in SARS-COV2 infection and delirium onset

The paper investigates the role of monoamine oxidase B in delirium onset during SARS-CoV-2 infection using metabolomic profiling and computational analysis.

Differential expression feature extraction (DEFE) and its application in RNA-seq data analysis

The paper introduces DEFE, a method to extract differential expression patterns from RNA-seq data, and applies it to identify genes associated with wheat resistance to Fusarium head blight.