نتائج البحث

PASTRY: achieving balanced power for detecting risk and protective minor alleles in meta-analysis of association studies with overlapping subjects.

• Authors : Kim, Emma E.¹ (AUTHOR); Jang, Chloe Soohyun² (AUTHOR); Kim, Hakin³ (AUTHOR)

• Source: BMC Bioinformatics. 1/12/2024, Vol. 25 Issue 1, p1-19. 19p.

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A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression

• Authors : Hai-Hui Huang; Hao Rao; Rui Miao

Subjects: Integrative analysis; Meta-analysis; Regularization

• Source: BMC Bioinformatics, Vol 23, Iss S10, Pp 1-24 (2022)

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Network meta-analysis correlates with analysis of merged independent transcriptome expression data.

• Authors : Winter, Christine¹; Kosch, Robin¹; Jung, Klaus¹

• Source: BMC Bioinformatics. 3/15/2019, Vol. 20 Issue 1, p1-10. 10p. 1 Chart, 6 Graphs.

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TAMA: improved metagenomic sequence classification through meta-analysis.

• Authors : Sim, Mikang¹ (AUTHOR); Lee, Jongin¹ (AUTHOR); Lee, Daehwan¹ (AUTHOR)

• Source: BMC Bioinformatics. 5/12/2020, Vol. 21 Issue 1, p1-17. 17p. 1 Diagram, 3 Charts, 4 Graphs.

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dbMDEGA: a database for meta-analysis of differentially expressed genes in autism spectrum disorder.

• Authors : Shuyun Zhang^1,2; Libin Deng^3,4; Qiyue Jia¹

• Source: BMC Bioinformatics. 11/16/2017, Vol. 18, p1-8. 8p. 2 Diagrams, 4 Charts.

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Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

• Authors : Yiru Sheng; R. Ayesha Ali; Andreas Heyland

Subjects: Gene expression; Brain; RNA-Seq

• Source: BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)

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ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis.

• Authors : Guohao Zhang¹; Kochunov, Peter² ; Hong, Elliot²

• Source: BMC Bioinformatics. 6/6/2017, Vol. 18, p18-45. 13p. 4 Diagrams, 1 Chart, 5 Graphs.

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metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

• Authors : Nhan Thi Ho; Fan Li; Shuang Wang

Subjects: Microbiome; Relative abundance; GAMLSS

• Source: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-15 (2019)

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A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions.

• Authors : Lagani, Vincenzo^1,2; Karozou, Argyro D.¹; Gomez-Cabrero, David^3,4,5,6

• Source: BMC Bioinformatics. 6/6/2016, Vol. 17, p287-305. 19p. 2 Diagrams, 3 Charts, 5 Graphs.

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Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies

• Authors : Uma Siangphoe; Kellie J. Archer; Nitai D. Mukhopadhyay

Subjects: Random-effects model; Bayesian random-effects model; Meta-analysis

• Source: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-15 (2019)

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