Tintle N - Search Results

1

Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.

König IR, Auerbach J, Gola D, Held E, Holzinger ER, Legault MA, Sun R, Tintle N, Yang HC. König IR, et al. Among authors: tintle n. BMC Genet. 2016 Feb 3;17 Suppl 2(Suppl 2):1. doi: 10.1186/s12863-015-0315-8. BMC Genet. 2016. PMID: 26866367 Free PMC article.

2

Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data.

Held E, Cape J, Tintle N. Held E, et al. Among authors: tintle n. BMC Proc. 2016 Oct 18;10(Suppl 7):141-145. doi: 10.1186/s12919-016-0020-2. eCollection 2016. BMC Proc. 2016. PMID: 27980626 Free PMC article.

3

Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees.

Bickeböller H, Bailey JN, Beyene J, Cantor RM, Cordell HJ, Culverhouse RC, Engelman CD, Fardo DW, Ghosh S, König IR, Lorenzo Bermejo J, Melton PE, Santorico SA, Satten GA, Sun L, Tintle NL, Ziegler A, MacCluer JW, Almasy L. Bickeböller H, et al. Among authors: tintle nl. BMC Proc. 2014 Jun 17;8(Suppl 1):S1. doi: 10.1186/1753-6561-8-S1-S1. eCollection 2014. BMC Proc. 2014. PMID: 25519310 Free PMC article.

4

Identifying rare variants from exome scans: the GAW17 experience.

Ghosh S, Bickeböller H, Bailey J, Bailey-Wilson JE, Cantor R, Culverhouse R, Daw W, Destefano AL, Engelman CD, Hinrichs A, Houwing-Duistermaat J, König IR, Kent J Jr, Laird N, Pankratz N, Paterson A, Pugh E, Suarez B, Sun Y, Thomas A, Tintle N, Zhu X, Ziegler A, Maccluer JW, Almasy L. Ghosh S, et al. Among authors: tintle n. BMC Proc. 2011 Nov 29;5 Suppl 9(Suppl 9):S1. doi: 10.1186/1753-6561-5-S9-S1. BMC Proc. 2011. PMID: 22373325 Free PMC article.

5

Application of novel and existing methods to identify genes with evidence of epigenetic association: results from GAW20.

Fuady AM, Lent S, Sarnowski C, Tintle NL. Fuady AM, et al. BMC Genet. 2018 Sep 17;19(Suppl 1):72. doi: 10.1186/s12863-018-0647-2. BMC Genet. 2018. PMID: 30255777 Free PMC article.

6

A Bayesian Framework for the Classification of Microbial Gene Activity States.

Disselkoen C, Greco B, Cook K, Koch K, Lerebours R, Viss C, Cape J, Held E, Ashenafi Y, Fischer K, Acosta A, Cunningham M, Best AA, DeJongh M, Tintle N. Disselkoen C, et al. Among authors: tintle n. Front Microbiol. 2016 Aug 9;7:1191. doi: 10.3389/fmicb.2016.01191. eCollection 2016. Front Microbiol. 2016. PMID: 27555837 Free PMC article.

7

A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architectures.

Green A, Cook K, Grinde K, Valcarcel A, Tintle N. Green A, et al. Among authors: tintle n. BMC Proc. 2016 Oct 18;10(Suppl 7):165-170. doi: 10.1186/s12919-016-0024-y. eCollection 2016. BMC Proc. 2016. PMID: 27980630 Free PMC article.

8

Characteristics of replicated single-nucleotide polymorphism genotypes from COGA: Affymetrix and Center for Inherited Disease Research.

Tintle NL, Ahn K, Mendell NR, Gordon D, Finch SJ. Tintle NL, et al. BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S154. doi: 10.1186/1471-2156-6-S1-S154. BMC Genet. 2005. PMID: 16451615 Free PMC article.

9

Evaluating the concordance between sequencing, imputation and microarray genotype calls in the GAW18 data.

Rogers A, Beck A, Tintle NL. Rogers A, et al. BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S22. doi: 10.1186/1753-6561-8-S1-S22. eCollection 2014. BMC Proc. 2014. PMID: 25519374 Free PMC article.

10

Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17.

Tintle N, Aschard H, Hu I, Nock N, Wang H, Pugh E. Tintle N, et al. Genet Epidemiol. 2011;35 Suppl 1(Suppl 1):S56-60. doi: 10.1002/gepi.20650. Genet Epidemiol. 2011. PMID: 22128060 Free PMC article.

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