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Statistical Applications in Genetics and Molecular Biology
Editor-in-Chief: Stumpf, Michael P.H.
6 Issues per year
IMPACT FACTOR 2016: 0.646
5-year IMPACT FACTOR: 1.191
CiteScore 2016: 0.94
SCImago Journal Rank (SJR) 2016: 0.625
Source Normalized Impact per Paper (SNIP) 2016: 0.596
Mathematical Citation Quotient (MCQ) 2016: 0.06
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- ISSN
- 1544-6115
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Most Downloaded Articles
- A General Framework for Weighted Gene Co-Expression Network Analysis by Zhang, Bin and Horvath, Steve
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments by Smyth, Gordon K
- A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics by Schäfer, Juliane and Strimmer, Korbinian
- Sensitivity to prior specification in Bayesian genome-based prediction models by Lehermeier, Christina/ Wimmer, Valentin/ Albrecht, Theresa/ Auinger, Hans-Jürgen/ Gianola, Daniel/ Schmid, Volker J. and Schön, Chris-Carolin
- Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates by Lund, Steven P./ Nettleton, Dan/ McCarthy, Davis J. and Smyth, Gordon K.
- TopKLists: a comprehensive R package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists by Schimek, Michael G./ Budinská, Eva/ Kugler, Karl G./ Švendová, Vendula/ Ding, Jie and Lin, Shili
- Model selection for prognostic time-to-event gene signature discovery with applications in early breast cancer data by Ahdesmäki, Miika/ Lancashire, Lee/ Proutski, Vitali/ Wilson, Claire/ Davison, Timothy S./ Harkin, D. Paul and Kennedy, Richard D.
- Improved variational Bayes inference for transcript expression estimation by Papastamoulis, Panagiotis/ Hensman, James/ Glaus, Peter and Rattray, Magnus
- Normalization, bias correction, and peak calling for ChIP-seq by Diaz, Aaron/ Park, Kiyoub/ Lim, Daniel A. and Song, Jun S.
- Robustness of the linear mixed effects model to error distribution assumptions and the consequences for genome-wide association studies by Warrington, Nicole M./ Tilling, Kate/ Howe, Laura D./ Paternoster, Lavinia/ Pennell, Craig E./ Wu, Yan Yan and Briollais, Laurent
- A Bayesian mixture model for chromatin interaction data by Niu, Liang and Lin, Shili
- A Two-Stage Poisson Model for Testing RNA-Seq Data by Auer, Paul L. and Doerge, Rebecca W
- The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq by Di, Yanming/ Schafer, Daniel W/ Cumbie, Jason S and Chang, Jeff H
- Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn by Phipson, Belinda and Smyth, Gordon K
- Including Probe-Level Measurement Error in Robust Mixture Clustering of Replicated Microarray Gene Expression by Liu, Xuejun and Rattray, Magnus
- A Sparse PLS for Variable Selection when Integrating Omics Data by Lê Cao, Kim-Anh/ Rossouw, Debra/ Robert-Granié, Christèle and Besse, Philippe
- Sparse Canonical Correlation Analysis with Application to Genomic Data Integration by Parkhomenko, Elena/ Tritchler, David and Beyene, Joseph
- Super Learner by van der Laan, Mark J./ Polley, Eric C and Hubbard, Alan E.
- Bayesian modelling of compositional heterogeneity in molecular phylogenetics by Heaps, Sarah E./ Nye, Tom M.W./ Boys, Richard J./ Williams, Tom A. and Embley, T. Martin
- GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net by Vlassis, Nikos and Glaab, Enrico
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Volume 15, Issue 2 (Apr 2016)
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Research Articles
What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment
Cui, Shiqi / Ji, Tieming / Li, Jilong / Cheng, Jianlin / Qiu, Jing
Page 87
Published Online: 02/29/2016
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- Free Access
A graph theoretical approach to data fusion
Žurauskienė, Justina / Kirk, Paul D.W. / Stumpf, Michael P.H.
Page 107
Published Online: 03/18/2016
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- Open Access
Resistant multiple sparse canonical correlation
Coleman, Jacob / Replogle, Joseph / Chandler, Gabriel / Hardin, Johanna
Page 123
Published Online: 03/10/2016
A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data
Lin, Zhixiang / Li, Mingfeng / Sestan, Nenad / Zhao, Hongyu
Page 139
Published Online: 02/29/2016
AGGrEGATOr: A Gene-based GEne-Gene interActTiOn test for case-control association studies
Emily, Mathieu
Page 151
Published Online: 02/25/2016
Comparing five statistical methods of differential methylation identification using bisulfite sequencing data
Yu, Xiaoqing / Sun, Shuying
Page 173
Published Online: 02/24/2016
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