Katerina J. Kechris

According to our database, Katerina J. Kechris authored at least 23 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Smccnet 2.0: a comprehensive tool for multi-omics network inference with shiny visualization.

Weixuan Liu, Thao Vu, Iain R. Konigsberg, Katherine A. Pratte, Yonghua Zhuang, Katerina J. Kechris

BMC Bioinform., December, 2024

2023

Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments.

Patrick M. Carry, Tim Vigers, Lauren A. Vanderlinden, Carson Keeter, Fran Dong, Teresa Buckner, Elizabeth Litkowski, Ivana Yang, Jill M. Norris, Katherina J. Kechris

BMC Bioinform., December, 2023

TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes.

Charlie M. Carpenter, Lucas A. Gillenwater, Russell Bowler, Katerina J. Kechris, Debashis Ghosh

BMC Bioinform., December, 2023

RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks.

Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M. Saba, Katerina J. Kechris

PLoS Comput. Biol., January, 2023

NetSHy: network summarization via a hybrid approach leveraging topological properties.

Thao Vu, Elizabeth Litkowski, Weixuan Liu, Katherine A. Pratte, Leslie Lange, Russell Bowler, Farnoush Banaei Kashani, Katerina J. Kechris

Bioinform., January, 2023

2022

Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification.

Mohamed Abdel-Hafiz, Mesbah Najafi, Shahab Helmi, Katherine A. Pratte, Yonghua Zhuang, Weixuan Liu, Katerina J. Kechris, Russell Bowler, Leslie Lange, Farnoush Banaei Kashani

Frontiers Big Data, 2022

Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics.

Jonathan P. Dekermanjian, Elin Shaddox, Debmalya Nandy, Debashis Ghosh, Katerina J. Kechris

BMC Bioinform., 2022

Semi-supervised Embedding for Scalable and Accurate Time Series Clustering.

Andrew Hill, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani

Proceedings of the IEEE International Conference on Big Data, 2022

Effective Subject Representation based on Multi-omics Disease Networks using Graph Embedding.

Sundous Hussein, Thao Vu, Leslie Lange, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.

Charlie M. Carpenter, Weiming Zhang, Lucas A. Gillenwater, Cameron Severn, Tusharkanti Ghosh, Russell Bowler, Katerina J. Kechris, Debashis Ghosh

PLoS Comput. Biol., 2021

Reproducibility of mass spectrometry based metabolomics data.

Tusharkanti Ghosh, Daisy Philtron, Weiming Zhang, Katerina J. Kechris, Debashis Ghosh

BMC Bioinform., 2021

tidyMicro: a pipeline for microbiome data analysis and visualization using the tidyverse in R.

Charlie M. Carpenter, Daniel N. Frank, Kayla Williamson, Jaron Arbet, Brandie D. Wagner, Katerina J. Kechris, Miranda Kroehl

BMC Bioinform., 2021

2020

MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments.

Brian Vestal, Camille M. Moore, Elizabeth Wynn, Laura M. Saba, Tasha Fingerlin, Katerina J. Kechris

BMC Bioinform., 2020

2019

Unsupervised discovery of phenotype-specific multi-omics networks.

W. Jenny Shi, Yonghua Zhuang, Pamela H. Russell, Brian Hobbs, Margaret M. Parker, Peter J. Castaldi, Pratyaydipta Rudra, Brian Vestal, Craig P. Hersh, Laura M. Saba, Katerina J. Kechris

Bioinform., 2019

2018

Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.

Yafei Lyu, Lingzhou Xue, Feipeng Zhang, Hillary Koch, Laura M. Saba, Katerina J. Kechris, Qunhua Li

PLoS Comput. Biol., 2018

2017

Model based heritability scores for high-throughput sequencing data.

Pratyaydipta Rudra, W. Jenny Shi, Brian Vestal, Pamela H. Russell, Aaron Odell, Robin D. Dowell, Richard Radcliffe, Laura M. Saba, Katerina J. Kechris

BMC Bioinform., 2017

The discordant method: a novel approach for differential correlation.

Charlotte Siska, Russell Bowler, Katerina J. Kechris

Bioinform., 2017

2014

MSPrep - Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data.

Grant Hughes, Charmion Cruickshank-Quinn, Richard Reisdorph, Sharon Lutz, Irina Petrache, Nichole Reisdorph, Russell Bowler, Katerina J. Kechris

Bioinform., 2014

The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment.

Subhajyoti De, Brent S. Pedersen, Katerina J. Kechris

Briefings Bioinform., 2014

2013

Hands-on Workshops as An Effective Means of Learning Advanced Technologies Including Genomics, Proteomics and Bioinformatics.

Nichole Reisdorph, Robert Stearman, Katerina J. Kechris, Tzu Lip Phang, Richard Reisdorph, Jessica E. Prenni, David J. Erle, Christopher Coldren, Kevin L. Schey, Alexey I. Nesvizhskii, Marc Geraci

Genom. Proteom. Bioinform., 2013

2012

Comb-p: software for combining, analyzing, grouping and correcting spatially correlated <i>P</i>-values.

Brent S. Pedersen, David A. Schwartz, Ivana V. Yang, Katerina J. Kechris

Bioinform., 2012

2008

c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression.

Katerina J. Kechris, Hao Li

BMC Bioinform., 2008

2007

Mining Discriminative Distance Context of Transcription Factor Binding Sites on ChIP Enriched Regions.

Hyunmin Kim, Katherina J. Kechris, Lawrence Hunter

Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007