Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 85 to 87 of 87 entries
Sorted by: Best Match Show Resources per page
Willows: a memory efficient tree and forest construction package.

BMC bioinformatics

Zhang H, Wang M, Chen X.
PMID: 19416535
BMC Bioinformatics. 2009 May 05;10:130. doi: 10.1186/1471-2105-10-130.

BACKGROUND: Existing tree and forest methods are powerful bioinformatics tools to explore high dimensional data including high throughput genomic data. However, they cannot deal with the data generated by recent genotyping platforms for single nucleotide polymorphisms due to the...

Cite
Zhang H, Wang M, Chen X. Willows: a memory efficient tree and forest construction package. BMC Bioinformatics. 2009;10:130doi: 10.1186/1471-2105-10-130.
Zhang, H., Wang, M., & Chen, X. (2009). Willows: a memory efficient tree and forest construction package. BMC bioinformatics, 10130. https://doi.org/10.1186/1471-2105-10-130
Zhang, Heping, et al. "Willows: a memory efficient tree and forest construction package." BMC bioinformatics vol. 10 (2009): 130. doi: https://doi.org/10.1186/1471-2105-10-130
Zhang H, Wang M, Chen X. Willows: a memory efficient tree and forest construction package. BMC Bioinformatics. 2009 May 05;10:130. doi: 10.1186/1471-2105-10-130. PMID: 19416535; PMCID: PMC2683818.
Copy Download .nbib Format: NLM
Linking variants from genome-wide association analysis to function via transcriptional network analysis.

Methods in molecular biology (Clifton, N.J.)

Keller BJ, Martini S, Nair V.
PMID: 22821601
Methods Mol Biol. 2012;910:297-308. doi: 10.1007/978-1-61779-965-5_13.

We outline a strategy to use tissue-specific expression along with promoter module analysis to determine the putative functional context of candidate genes implicated in genome-wide association studies. First, genes are selected from candidate SNPs, followed by construction of a...

Cite
Keller BJ, Martini S, Nair V. Linking variants from genome-wide association analysis to function via transcriptional network analysis. Methods Mol Biol. 2012;910:297-308doi: 10.1007/978-1-61779-965-5_13.
Keller, B. J., Martini, S., & Nair, V. (2012). Linking variants from genome-wide association analysis to function via transcriptional network analysis. Methods in molecular biology (Clifton, N.J.), 910297-308. https://doi.org/10.1007/978-1-61779-965-5_13
Keller, Benjamin J, et al. "Linking variants from genome-wide association analysis to function via transcriptional network analysis." Methods in molecular biology (Clifton, N.J.) vol. 910 (2012): 297-308. doi: https://doi.org/10.1007/978-1-61779-965-5_13
Keller BJ, Martini S, Nair V. Linking variants from genome-wide association analysis to function via transcriptional network analysis. Methods Mol Biol. 2012;910:297-308. doi: 10.1007/978-1-61779-965-5_13. PMID: 22821601.
Copy Download .nbib Format: NLM
Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry.

Current diabetes reports

Spracklen CN, Sim X.
PMID: 33846905
Curr Diab Rep. 2021 Apr 13;21(6):17. doi: 10.1007/s11892-021-01388-2.

PURPOSE OF REVIEW: Prevalence of type 2 diabetes (T2D) and progression of complications differ between worldwide populations. While obesity is a major contributing risk factor, variations in physiological manifestations, e.g., developing T2D at lower body mass index in some...

Cite
Spracklen CN, Sim X. Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry. Curr Diab Rep. 2021;21(6):17doi: 10.1007/s11892-021-01388-2.
Spracklen, C. N., & Sim, X. (2021). Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry. Current diabetes reports, 21(6), 17. https://doi.org/10.1007/s11892-021-01388-2
Spracklen, Cassandra N, and Sim, Xueling. "Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry." Current diabetes reports vol. 21,6 (2021): 17. doi: https://doi.org/10.1007/s11892-021-01388-2
Spracklen CN, Sim X. Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry. Curr Diab Rep. 2021 Apr 13;21(6):17. doi: 10.1007/s11892-021-01388-2. PMID: 33846905.
Copy Download .nbib Format: NLM
Showing 85 to 87 of 87 entries