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Genetic sequence data are well described by hidden Markov models (HMMs) in which latent states correspond to clusters of similar mutation patterns. Theory from statistical genetics suggests that these HMMs are nonhomogeneous (their…

Applications · Statistics 2016-11-03 Lloyd T. Elliott , Yee Whye Teh

Single-cell RNA sequencing (scRNA-seq) enables single-cell transcriptomic profiling, revealing cellular heterogeneity and rare populations. Recent deep learning models like Geneformer and Mouse-Geneformer perform well on tasks such as…

Genomics · Quantitative Biology 2025-07-11 Yuki Nishio , Takayoshi Yamashita , Keita Ito , Tsubasa Hirakawa , Hironobu Fujiyoshi

The site frequency spectrum (SFS) is a popular summary statistic of genomic data. While the SFS of a constant-sized population undergoing neutral mutations has been extensively studied in population genetics, the rapidly growing amount of…

Populations and Evolution · Quantitative Biology 2021-10-22 Einar Bjarki Gunnarsson , Kevin Leder , Jasmine Foo

Comparison of human and chimpanzee genomes has received much attention, because of paramount role for understanding evolutionary step distinguishing us from our closest living relative. In order to contribute to insight into Y chromosome…

Genomics · Quantitative Biology 2011-10-11 Vladimir Paar , Matko Glunčić , Ivan Basar , Marija Rosandić , Petar Paar , Mislav Cvitković

Natural populations often show enhanced genetic drift consistent with a strong skew in their offspring number distribution. The skew arises because the variability of family sizes is either inherently strong or amplified by population…

Populations and Evolution · Quantitative Biology 2022-01-13 Takashi Okada , Oskar Hallatschek

A DNA palindrome is a segment of double-stranded DNA sequence with inver- sion symmetry which may form secondary structures conferring significant biolog- ical functions ranging from RNA transcription to DNA replication. To test if the…

Applications · Statistics 2011-04-28 I-Ping Tu , Yuan-Fu Huang , Shao-Hsuan Wang

We consider two versions of stochastic population models with mutation and selection. The first approach relies on a multitype branching process; here, individuals reproduce and change type (i.e., mutate) independently of each other,…

Populations and Evolution · Quantitative Biology 2009-02-19 E. Baake , R. Bialowons

Chromosomal DNA is characterized by variation between individuals at the level of entire chromosomes (e.g., aneuploidy in which the chromosome copy number is altered), segmental changes (including insertions, deletions, inversions, and…

Applications · Statistics 2008-07-30 Robert B. Scharpf , Giovanni Parmigiani , Jonathan Pevsner , Ingo Ruczinski

Freshwater Unionid bivalves have recently faced ecological upheaval through pollution, barriers to dispersal, human harvesting, and changes in fish-host prevalence. Currently, over 70% of species are threatened, endangered or extinct. To…

Populations and Evolution · Quantitative Biology 2022-11-18 Rebekah L. Rogers , Stephanie L. Grizzard , Jeffrey T. Garner

We introduce and analyse an individual-based evolutionary model, in which a population of genetically diverse organisms compete with each other for limited resources. Through theoretical analysis and stochastic simulations, we show that the…

Populations and Evolution · Quantitative Biology 2012-11-02 Tim Rogers , Alan J. McKane , Axel G. Rossberg

Gene set enrichment analyses of 8,405 genes linked with 35,074 human-specific (hs) regulatory single-nucleotide changes (SNCs) revealed the staggering breadth of significant associations with morphological structures, physiological…

Genomics · Quantitative Biology 2025-12-30 Gennadi V. Glinsky

Thousands of candidate human-specific regulatory sequences (HSRS) have been identified, supporting the hypothesis that unique to human phenotypes result from human-specific alterations of genomic regulatory networks. Here, conservation…

Genomics · Quantitative Biology 2025-12-30 Gennadi Glinsky

Molecular phenotyping by gene expression profiling is common in contemporary cancer research and in molecular diagnostics. However, molecular profiling remains costly and resource intense to implement, and is just starting to be introduced…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Philippe Weitz , Yinxi Wang , Kimmo Kartasalo , Lars Egevad , Johan Lindberg , Henrik Grönberg , Martin Eklund , Mattias Rantalainen

We present an extensive theoretical investigation of the mechanical unzipping of double-stranded DNA under the influence of an applied force. In the limit of long polymers, there is a thermodynamic unzipping transition at a critical force…

Soft Condensed Matter · Physics 2009-11-07 David K. Lubensky , David R. Nelson

Single nucleotide polymorphism (SNP) datasets are fundamental to genetic studies but pose significant privacy risks when shared. The correlation of SNPs with each other makes strong adversarial attacks such as masked-value reconstruction,…

Machine Learning · Computer Science 2025-10-08 Shadi Rahimian , Mario Fritz

We study the correlation of the occurrence of coronary heart disease (CHD) with the presence of the single-nucleotide polymorphism (SNP) at the -308 position of the tumor necrosis factor alpha (TNF-$\alpha$) gene. We also consider the…

Quantitative Methods · Quantitative Biology 2011-05-06 Ekaterini Vourvouhaki , C. Sofia Carvalho

The methylation of DNA regulates gene expression. On cell division the methylation state of the DNA is typically inherited from parent to daughter cells. While the chemical bond between the methyl group and the DNA is very strong, changes…

Populations and Evolution · Quantitative Biology 2012-10-05 Sean P Stromberg

Genetic association studies have been a popular approach for assessing the association between common Single Nucleotide Polymorphisms (SNPs) and complex diseases. However, other genomic data involved in the mechanism from SNPs to disease,…

Applications · Statistics 2014-04-28 Yen-Tsung Huang , Tyler J. VanderWeele , Xihong Lin

High-dimensional data of discrete and skewed nature is commonly encountered in high-throughput sequencing studies. Analyzing the network itself or the interplay between genes in this type of data continues to present many challenges. As…

Methodology · Statistics 2017-12-01 Anjali Silva , Steven J. Rothstein , Paul D. McNicholas , Sanjeena Subedi
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