Maciej Pietrzak

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Binary Classification

Top Venues

Int. J. Comput. Biol. Drug Des.

Publications

Aastha Khatiwada, Ayse Selen Yilmaz, Bethany J. Wolf, Maciej Pietrzak, Dongjun Chung
multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results. PLoS Comput. Biol. 19 (12) (2023)
Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz, Paula S. Ramos, Maciej Pietrzak, Andrew Lawson, Kelly J. Hunt, Hang J. Kim, Dongjun Chung
GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results. Bioinform. 38 (4) (2022)
Maciej Pietrzak, Gerard Lozanski, Michael Grever, Leslie Andritsos, James S. Blachly, Kerry Rogers, Michal Seweryn
On the analysis of the human immunome via an information theoretical approach. Int. J. Comput. Biol. Drug Des. 13 (5/6) (2020)
Ali Foroughi Pour, Maciej Pietrzak, Lori A. Dalton, Grzegorz A. Rempala
High dimensional model representation of log-likelihood ratio: binary classification with expression data. BMC Bioinform. 21 (1) (2020)
Eric Franz, Hatice Gulcin Ozer, Trey Dockendorf, Venkat Sundar Gadepalli, Amy Webb, Alan Chalker, Maciej Pietrzak, Morgan E. Rodgers, Douglas Johnson, David E. Hudak
Scaling R Shiny Apps to Multiple Concurrent Users in a Secured HPC Environment Using Open OnDemand. PEARC (2019)
Venkat Sundar Gadepalli, Hatice Gulcin Ozer, Ayse Selen Yilmaz, Maciej Pietrzak, Amy Webb
BISR-RNAseq: an efficient and scalable RNAseq analysis workflow with interactive report generation. BMC Bioinform. (24) (2019)