shinySISPA is a product of the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University (https://bbisr.winship.emory.edu).

This work is funded by the Leukemia and Lymphoma Society Translational Research Program Award (Jeanne Kowalski); Georgia Research Alliance Scientist Award (Jeanne Kowalski); Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI [Award number P30CA138292, in part]. The content is solely the responsibility of the authors (Bhakti Dwivedi & Jeanne Kowalski) and does not necessarily represent the official views of the NIH.

The shinySISPA source code is freely available to download from the GitHub (https://github.com/BhaktiDwivedi/shinySISPA)

The Bioconductor R package for SISPA is available at https://www.bioconductor.org/packages/SISPA.

Please cite the method as: Kowalski J, Dwivedi B, Newman S, Switchenko JM, Pauly R, Gutman DA, Arora J, Gandhi K, Ainslie K, Doho G, Qin Z, Moreno CS, Rossi MR, Vertino PM, Lonial S, Bernal-Mizrachi L, Boise LH. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Research. 2016 Apr 20;44(7):e69. doi: 10.1093/nar/gkv1503. Epub 2016 Jan 29. PubMed PMID: 26826710; PubMed Central PMCID: PMC4838358.

shinySISPA is a product of the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University (https://bbisr.winship.emory.edu).

This work is funded by the Leukemia and Lymphoma Society Translational Research Program Award (Jeanne Kowalski); Georgia Research Alliance Scientist Award (Jeanne Kowalski); Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI [Award number P30CA138292, in part]. The content is solely the responsibility of the authors (Bhakti Dwivedi & Jeanne Kowalski) and does not necessarily represent the official views of the NIH.

The shinySISPA source code is freely available to download from the GitHub (https://github.com/BhaktiDwivedi/shinySISPA)

The Bioconductor R package for SISPA is available at https://www.bioconductor.org/packages/SISPA.

Please cite the method as: Kowalski J, Dwivedi B, Newman S, Switchenko JM, Pauly R, Gutman DA, Arora J, Gandhi K, Ainslie K, Doho G, Qin Z, Moreno CS, Rossi MR, Vertino PM, Lonial S, Bernal-Mizrachi L, Boise LH. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Research. 2016 Apr 20;44(7):e69. doi: 10.1093/nar/gkv1503. Epub 2016 Jan 29. PubMed PMID: 26826710; PubMed Central PMCID: PMC4838358.

shinySISPA is a product of the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University (https://bbisr.winship.emory.edu).

This work is funded by the Leukemia and Lymphoma Society Translational Research Program Award (Jeanne Kowalski); Georgia Research Alliance Scientist Award (Jeanne Kowalski); Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI [Award number P30CA138292, in part]. The content is solely the responsibility of the authors (Bhakti Dwivedi & Jeanne Kowalski) and does not necessarily represent the official views of the NIH.

The shinySISPA source code is freely available to download from the GitHub (https://github.com/BhaktiDwivedi/shinySISPA)

The Bioconductor R package for SISPA is available at https://www.bioconductor.org/packages/SISPA.

Please cite the method as: Kowalski J, Dwivedi B, Newman S, Switchenko JM, Pauly R, Gutman DA, Arora J, Gandhi K, Ainslie K, Doho G, Qin Z, Moreno CS, Rossi MR, Vertino PM, Lonial S, Bernal-Mizrachi L, Boise LH. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Research. 2016 Apr 20;44(7):e69. doi: 10.1093/nar/gkv1503. Epub 2016 Jan 29. PubMed PMID: 26826710; PubMed Central PMCID: PMC4838358.