T. Eicher

Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements

Raghu Machiraju, Ewy A. Mathé, Tara Eicher, 2021, BMC Bioinform..

Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources

Raghu Machiraju, Qin Ma, Ewy A. Mathé, 2020, Metabolites.

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from genes, proteins, and metabolites

Timothy K Sheils, E. Mathé, J. Braisted, 2022, bioRxiv.

An OpenData portal to share COVID-19 drug repurposing data in real time

Sam Michael, Paul Shinn, Ke Wang, 2020, bioRxiv.

Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge

Raghu Machiraju, Yan Zhang, Ewy Mathé, 2019, BMC Bioinformatics.

Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements

R. Machiraju, E. Mathé, Jany Chan, 2021, BMC Bioinformatics.

A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome

Kaushik Sinha, Tara Eicher, Kaushik Sinha, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).