Statistical applications in genetics and molecular biology

Keyphrases

Publications

volume 23, number 1, 2024

Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)
Ragnhild Laursen, Lasse Maretty, Asger Hobolth
Flexible model-based non-negative matrix factorization with application to mutational signatures. Statistical applications in genetics and molecular biology 23 (1) (2024)
Md Rejuan Haque, Laura Kubatko
A global test of hybrid ancestry from genome-scale data. Statistical applications in genetics and molecular biology 23 (1) (2024)
Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)
Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)
Anand Hari, Edakkalathoor George Jinto, Divya Dennis, Kumarapillai Mohanan Nair Jagathnath Krishna, Preethi S George, Sivasevan Roshni, Aleyamma Mathew
Choice of baseline hazards in joint modeling of longitudinal and time-to-event cancer survival data. Statistical applications in genetics and molecular biology 23 (1) (2024)
Ragnhild Laursen, Lasse Maretty, Asger Hobolth
Flexible model-based non-negative matrix factorization with application to mutational signatures. Statistical applications in genetics and molecular biology 23 (1) (2024)
Md Rejuan Haque, Laura Kubatko
A global test of hybrid ancestry from genome-scale data. Statistical applications in genetics and molecular biology 23 (1) (2024)
Thomas Minotto, Philippe A Robert, Ingrid Hobæk Haff, Geir K Sandve
Assessing the feasibility of statistical inference using synthetic antibody-antigen datasets. Statistical applications in genetics and molecular biology 23 (1) (2024)
Lavkush Sharma, Akshay Deepak, Ashish Ranjan, Gopalakrishnan Krishnasamy
A CNN-CBAM-BIGRU model for protein function prediction. Statistical applications in genetics and molecular biology 23 (1) (2024)
Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)
Henry Linder, Yuping Zhang, Yunqi Wang, Zhengqing Ouyang
Integrative pathway analysis with gene expression, miRNA, methylation and copy number variation for breast cancer subtypes. Statistical applications in genetics and molecular biology 23 (1) (2024)
Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)
Henry Linder, Yuping Zhang, Yunqi Wang, Zhengqing Ouyang
Integrative pathway analysis with gene expression, miRNA, methylation and copy number variation for breast cancer subtypes. Statistical applications in genetics and molecular biology 23 (1) (2024)
Thomas Minotto, Philippe A Robert, Ingrid Hobæk Haff, Geir K Sandve
Assessing the feasibility of statistical inference using synthetic antibody-antigen datasets. Statistical applications in genetics and molecular biology 23 (1) (2024)
Annika Krutto, Therese Haugdahl Nøst, Magne Thoresen
A heavy-tailed model for analyzing miRNA-seq raw read counts. Statistical applications in genetics and molecular biology 23 (1) (2024)
Zilu Liu, Asuman Seda Turkmen, Shili Lin
Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical applications in genetics and molecular biology 23 (1) (2024)

volume 22, number 1, 2023

Nanxing Li, Lili Chen, Yajing Zhou, Qianran Wei
A fast and efficient approach for gene-based association studies of ordinal phenotypes. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yuanyuan Bian, Chong He, Jing Qiu
A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yuanyuan Bian, Chong He, Jing Qiu
A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yonghui Ni, Jianghua He, Prabhakar Chalise
Randomized singular value decomposition for integrative subtype analysis of 'omics data' using non-negative matrix factorization. Statistical applications in genetics and molecular biology 22 (1) (2023)
Jorge M Arevalillo, Raquel Martin-Arevalillo
Patterns of differential expression by association in omic data using a new measure based on ensemble learning. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yuanyuan Bian, Chong He, Jing Qiu
A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yang Shi, Weiping Shi, Mengqiao Wang, Ji-Hyun Lee, Huining Kang, Hui Jiang
Accurate and fast small p -value estimation for permutation tests in high-throughput genomic data analysis with the cross-entropy method. Statistical applications in genetics and molecular biology 22 (1) (2023)
Nanxing Li, Lili Chen, Yajing Zhou, Qianran Wei
A fast and efficient approach for gene-based association studies of ordinal phenotypes. Statistical applications in genetics and molecular biology 22 (1) (2023)
Nanxing Li, Lili Chen, Yajing Zhou, Qianran Wei
A fast and efficient approach for gene-based association studies of ordinal phenotypes. Statistical applications in genetics and molecular biology 22 (1) (2023)
Qiang Han, Yu Wang, Na Sun, Jiadong Chu, Wei Hu, Yueping Shen
Mediation analysis method review of high throughput data. Statistical applications in genetics and molecular biology 22 (1) (2023)
Nanxing Li, Lili Chen, Yajing Zhou, Qianran Wei
A fast and efficient approach for gene-based association studies of ordinal phenotypes. Statistical applications in genetics and molecular biology 22 (1) (2023)
Tiange Shi, Han Yu, Rachael Hageman Blair
Integrated regulatory and metabolic networks of the tumor microenvironment for therapeutic target prioritization. Statistical applications in genetics and molecular biology 22 (1) (2023)
Lavkush Sharma, Akshay Deepak, Ashish Ranjan, Gopalakrishnan Krishnasamy
A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction. Statistical applications in genetics and molecular biology 22 (1) (2023)
Keegan Flanagan, Steven Pelech, Yossef Av-Gay, Khanh Dao Duc
CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data. Statistical applications in genetics and molecular biology 22 (1) (2023)
Xiran Liu, Zarif Ahsan, Tarun K Martheswaran, Noah A Rosenberg
When is the allele-sharing dissimilarity between two populations exceeded by the allele-sharing dissimilarity of a population with itself? Statistical applications in genetics and molecular biology 22 (1) (2023)
Bo Zhang, Jianghua He, Jinxiang Hu, Prabhakar Chalise, Devin C Koestler
Improving the accuracy and internal consistency of regression-based clustering of high-dimensional datasets. Statistical applications in genetics and molecular biology 22 (1) (2023)
Yuanyuan Bian, Chong He, Jing Qiu
A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment. Statistical applications in genetics and molecular biology 22 (1) (2023)

2022

Guoyu Wu, Yuchao Li
Distinct characteristics of correlation analysis at the single-cell and the population level. Statistical applications in genetics and molecular biology (2022)

volume 21, number 1, 2022

Viplove Arora, Guido Sanguinetti
Challenges for machine learning in RNA-protein interaction prediction. Statistical applications in genetics and molecular biology 21 (1) (2022)
Shizhi Zhang, Mingjin Zhang
Use of SVM-based ensemble feature selection method for gene expression data analysis. Statistical applications in genetics and molecular biology 21 (1) (2022)
Janaka S S Liyanage, Jeremie H Estepp, Kumar Srivastava, Yun Li, Motomi Mori, Guolian Kang
GMEPS: a fast and efficient likelihood approach for genome-wide mediation analysis under extreme phenotype sequencing. Statistical applications in genetics and molecular biology 21 (1) (2022)
Qing Xia, Jeffrey A Thompson, Devin C Koestler
pwrBRIDGE : a user-friendly web application for power and sample size estimation in batch-confounded microarray studies with dependent samples. Statistical applications in genetics and molecular biology 21 (1) (2022)
Basile Jumentier, Kevin Caye, Barbara Heude, Johanna Lepeule, Olivier François
Sparse latent factor regression models for genome-wide and epigenome-wide association studies. Statistical applications in genetics and molecular biology 21 (1) (2022)
Jan van Waaij, Zilong Li, Carsten Wiuf
Estimation of the covariance structure from SNP allele frequencies. Statistical applications in genetics and molecular biology 21 (1) (2022)
Jen-Yu Lee, Pao-Sheng Shen, Kuang-Fu Cheng
A robust association test with multiple genetic variants and covariates. Statistical applications in genetics and molecular biology 21 (1) (2022)

volume 20, number 1, 2021

Danilo Gullotto
Fine tuned exploration of evolutionary relationships within the protein universe. Statistical applications in genetics and molecular biology 20 (1) (2021)
Qi Zhang, Zheng Xu, Yutong Lai
An Empirical Bayes approach for the identification of long-range chromosomal interaction from Hi-C data. Statistical applications in genetics and molecular biology 20 (1) (2021)

volume 20, number 2, 2021

Meng Wang, Lihua Jiang, Michael P Snyder
AdaReg: data adaptive robust estimation in linear regression with application in GTEx gene expressions. Statistical applications in genetics and molecular biology 20 (2) (2021)
Elisabeth Roesch, Christopher Rackauckas, Michael P H Stumpf
Collocation based training of neural ordinary differential equations. Statistical applications in genetics and molecular biology 20 (2) (2021)

volume 20, number 3, 2021

Richard Meier, Emily Nissen, Devin C Koestler
Low variability in the underlying cellular landscape adversely affects the performance of interaction-based approaches for conducting cell-specific analyses of DNA methylation in bulk samples. Statistical applications in genetics and molecular biology 20 (3) (2021)
Farhad Hatami, Emma Beamish, Albert Davies, Rachael Rigby, Frank Dondelinger
A hierarchical Bayesian approach for detecting global microbiome associations. Statistical applications in genetics and molecular biology 20 (3) (2021)

volume 20, number 4-6, 2021

Qing Xia, Jeffrey A Thompson, Devin C Koestler
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE). Statistical applications in genetics and molecular biology 20 (4-6) (2021)
Chi-Kan Chen
Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selections. Statistical applications in genetics and molecular biology 20 (4-6) (2021)