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Genome-Wide Association Studies (GWAS) help identify genetic variations in people with diseases such as Parkinson's disease (PD), which are less common in those without the disease. Thus, GWAS data can be used to identify genetic variations…

Genomics · Quantitative Biology 2023-04-07 Ali Amelia , Lourdes Pena-Castillo , Hamid Usefi

Understanding and extracting the patterns of microscopy images has been a major challenge in the biomedical field. Although trained scientists can locate the proteins of interest within a human cell, this procedure is not efficient and…

Computer Vision and Pattern Recognition · Computer Science 2020-06-09 Hanke Chen

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

Computer Vision and Pattern Recognition · Computer Science 2024-06-27 Min Ren , Yunlong Wang , Yuhao Zhu , Yongzhen Huang , Zhenan Sun , Qi Li , Tieniu Tan

This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associated code, datasets, and training weights for immediate…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Asheesh Sharma , Lucy Randewich , William Andrew , Sion Hannuna , Neill Campbell , Siobhan Mullan , Andrew W. Dowsey , Melvyn Smith , Mark Hansen , Tilo Burghardt

Accurately recognizing and assessing pain in sheep is key to discern animal health and mitigating harmful situations. However, such accuracy is limited by the ability to manage automatic monitoring of pain in those animals. Facial…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Alam Noor , Luis Almeida , Mohamed Daoudi , Kai Li , Eduardo Tovar

In Precision Livestock Farming, detecting deviations from optimal or baseline values - i.e. anomalies in time series - is essential to allow undertaking corrective actions rapidly. Here we aim at detecting anomalies in 24h time series of…

Machine Learning · Computer Science 2025-03-03 Valentin Guien , Violaine Antoine , Romain Lardy , Isabelle Veissier , Luis E C Rocha

There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case--control…

Quantitative Methods · Quantitative Biology 2015-05-20 M. Bridges , E. A. Heron , C. O'Dushlaine , R. Segurado , The International Schizophrenia Consortium , D. Morris , A. Corvin , M. Gill , C. Pinto

Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics. Often such data are collected in order to identify and understand shifts in…

Methodology · Statistics 2016-07-15 Yue S. Niu , Ning Hao , Heping Zhang

Gene expression of social actions in Drosophilae has been attracting wide interest from biologists, medical scientists and psychologists. Gene-edited Drosophilae have been used as a test platform for experimental investigation. For example,…

Computer Vision and Pattern Recognition · Computer Science 2019-09-12 Khan Faraz , Ahmed Bouridane , Richard Jiang , Tiancheng Xia , Paul Chazot , Abdel Ennaceur

Phenotypes of individuals in a population of organisms are not fixed. Phenotypic fluctuations, which describe temporal variation of the phenotype of an individual or individual-to-individual variation across a population, are present in…

Populations and Evolution · Quantitative Biology 2018-08-15 Hong-Yan Shih , Harry Mickalide , David T. Fraebel , Nigel Goldenfeld , Seppe Kuehn

Most non-synonymous mutations are thought to be deleterious because of their effect on protein sequence. These polymorphisms are expected to be removed or kept at low frequency by the action of natural selection, and rare deleterious…

Populations and Evolution · Quantitative Biology 2013-08-05 Sofiane Mezmouk , Jeffrey Ross-Ibarra

In genome-wide association studies (GWAS), hundreds of thousands of genetic markers (SNPs) are tested for association with a trait or phenotype. Reported effects tend to be larger in magnitude than the true effects of these markers, the…

Methodology · Statistics 2010-10-25 Michael E. Goddard , Naomi R. Wray , Klara Verbyla , Peter M. Visscher

Our models for detecting the effect of adaptation on population genomic diversity are often predicated on a single newly arisen mutation sweeping rapidly to fixation. However, a population can also adapt to a new situation by multiple…

Populations and Evolution · Quantitative Biology 2012-07-26 Peter Ralph , Graham Coop

This study presents the first global, 1 Mbp level analysis of patterns of nucleotide substitutions along the human lineage. The study is based on the analysis of a large amount of repetitive elements deposited into the human genome since…

Genomics · Quantitative Biology 2007-05-23 Peter F Arndt , Terence Hwa , Dmitri A Petrov

Clinical adoption of human genome sequencing requires methods with known accuracy of genotype calls at millions or billions of positions across a genome. Previous work showing discordance amongst sequencing methods and algorithms has made…

Genomics · Quantitative Biology 2014-02-18 Justin M. Zook , Brad Chapman , Jason Wang , David Mittelman , Oliver Hofmann , Winston Hide , Marc Salit

A recent technology breakthrough in spatial molecular profiling has enabled the comprehensive molecular characterizations of single cells while preserving spatial information. It provides new opportunities to delineate how cells from…

Applications · Statistics 2021-10-07 Xi Jiang , Qiwei Li , Guanghua Xiao

Self-supervised pre-training methods have brought remarkable breakthroughs in the understanding of text, image, and speech. Recent developments in genomics has also adopted these pre-training methods for genome understanding. However, they…

Machine Learning · Computer Science 2022-04-15 Samuel Cahyawijaya , Tiezheng Yu , Zihan Liu , Tiffany T. W. Mak , Xiaopu Zhou , Nancy Y. Ip , Pascale Fung

Biological oscillations are periodic changes in various signaling processes crucial for the proper functioning of living organisms. These oscillations are modeled by ordinary differential equations, with coefficient variations leading to…

Machine Learning · Computer Science 2024-12-04 Heng Rao , Yu Gu , Jason Zipeng Zhang , Ge Yu , Yang Cao , Minghan Chen

The ability to discriminate between large and small quantities is a core aspect of basic numerical competence in both humans and animals. In this work, we examine the extent to which the state-of-the-art neural networks designed for vision…

Artificial Intelligence · Computer Science 2023-03-14 Ivana Kajić , Aida Nematzadeh

Discovering all the genetic causes of a phenotype is an important goal in functional genomics. In this paper we combine an experimental design for multiple independent detections of the genetic causes of a phenotype, with a high-throughput…

Quantitative Methods · Quantitative Biology 2014-03-18 Marc Harper , Luisa Gronenberg , James Liao , Christopher Lee
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