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2020 – today
- 2023
[j5]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)- 2022
- [j4]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): 1067-1074 (2022) - 2020
- [j3]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): 156 (2020) - [j2]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): 555-581 (2020)
2010 – 2019
- 2019
- [j1]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. 20-S(24): 670 (2019) - [c1]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: 55:1-55:7
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