Runger G - Search Results

1

Framework for Multisector Alignment Research.

Riley WJ, Love K, Runger G, Shafer MS, Pine K, Mays G. Riley WJ, et al. Among authors: runger g. J Public Health Manag Pract. 2021 Sep-Oct 01;27(5):E205-E209. doi: 10.1097/PHH.0000000000001275. J Public Health Manag Pract. 2021. PMID: 33109933 Free PMC article.

2

A bag-of-features framework to classify time series.

Baydogan MG, Runger G, Tuv E. Baydogan MG, et al. Among authors: runger g. IEEE Trans Pattern Anal Mach Intell. 2013 Nov;35(11):2796-802. doi: 10.1109/TPAMI.2013.72. IEEE Trans Pattern Anal Mach Intell. 2013. PMID: 24051736

3

A novel feature selection methodology for automated inspection systems.

Garcia HC, Villalobos JR, Pan R, Runger GC. Garcia HC, et al. IEEE Trans Pattern Anal Mach Intell. 2009 Jul;31(7):1338-44. doi: 10.1109/TPAMI.2008.276. IEEE Trans Pattern Anal Mach Intell. 2009. PMID: 19443930

4

Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery.

Guan X, Runger G, Liu L. Guan X, et al. Among authors: runger g. BMC Bioinformatics. 2020 Mar 11;21(Suppl 2):77. doi: 10.1186/s12859-020-3344-x. BMC Bioinformatics. 2020. PMID: 32164534 Free PMC article.

5

A statistical framework for multiparameter analysis at the single-cell level.

Torres-García W, Ashili S, Kelbauskas L, Johnson RH, Zhang W, Runger GC, Meldrum DR. Torres-García W, et al. Mol Biosyst. 2012 Mar;8(3):804-17. doi: 10.1039/c2mb05429a. Epub 2012 Jan 5. Mol Biosyst. 2012. PMID: 22222464

6

Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets.

Torres-García W, Brown SD, Johnson RH, Zhang W, Runger GC, Meldrum DR. Torres-García W, et al. Mol Biosyst. 2011 Apr;7(4):1093-104. doi: 10.1039/c0mb00260g. Epub 2011 Jan 7. Mol Biosyst. 2011. PMID: 21212895

7

Matched Forest: supervised learning for high-dimensional matched case-control studies.

Shomal Zadeh N, Lin S, Runger GC. Shomal Zadeh N, et al. Among authors: runger gc. Bioinformatics. 2020 Mar 1;36(5):1570-1576. doi: 10.1093/bioinformatics/btz785. Bioinformatics. 2020. PMID: 31621830

8

A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas.

Lin S, Wang C, Zarei S, Bell DA, Kerr SE, Runger GC, Kocher JA. Lin S, et al. Among authors: runger gc. BMC Genomics. 2018 Nov 27;19(1):841. doi: 10.1186/s12864-018-5177-9. BMC Genomics. 2018. PMID: 30482155 Free PMC article.

9

Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins.

Torres-García W, Zhang W, Runger GC, Johnson RH, Meldrum DR. Torres-García W, et al. Bioinformatics. 2009 Aug 1;25(15):1905-14. doi: 10.1093/bioinformatics/btp325. Epub 2009 May 15. Bioinformatics. 2009. PMID: 19447782 Free PMC article.

10

GCRNN: Group-Constrained Convolutional Recurrent Neural Network.

Lin S, Runger GC. Lin S, et al. Among authors: runger gc. IEEE Trans Neural Netw Learn Syst. 2018 Oct;29(10):4709-4718. doi: 10.1109/TNNLS.2017.2772336. Epub 2017 Dec 7. IEEE Trans Neural Netw Learn Syst. 2018. PMID: 29990242

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