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The prediction of phenotypic traits using high-density genomic data has many applications such as the selection of plants and animals of commercial interest; and it is expected to play an increasing role in medical diagnostics. Statistical…

Methodology · Statistics 2016-09-29 Marco Scutari , Ian Mackay , David Balding

Decoding the genome confers the capability to predict characteristics of the organism(phenotype) from DNA (genotype). We describe the present status and future prospects of genomic prediction of complex traits in humans. Some highly…

Genomics · Quantitative Biology 2021-01-18 Timothy G. Raben , Louis Lello , Erik Widen , Stephen D. H. Hsu

While deep learning has seen many recent applications to drug discovery, most have focused on predicting activity or toxicity directly from chemical structure. Phenotypic changes exhibited in cellular images are also indications of the…

Computer Vision and Pattern Recognition · Computer Science 2019-03-18 Philip T. Jackson , Yinhai Wang , Sinead Knight , Hongming Chen , Thierry Dorval , Martin Brown , Claus Bendtsen , Boguslaw Obara

Annotations of gene structures and regulatory elements can inform genome-wide association studies (GWAS). However, choosing the relevant annotations for interpreting an association study of a given trait remains challenging. We describe a…

Genomics · Quantitative Biology 2014-04-24 Joseph K. Pickrell

Genomes may be analyzed from an information viewpoint as very long strings, containing functional elements of variable length, which have been assembled by evolution. In this work an innovative information theory based algorithm is…

Genomics · Quantitative Biology 2020-09-23 Vincenzo Bonnici , Giuditta Franco , Vincenzo Manca

Complexity metrics and machine learning (ML) models have been utilized to analyze the lengths of segmental genomic entities like: exons, introns, intergenic and repeat/unique DNA sequences, in each of the 22 human chromosomes. The purpose…

Population genetic studies have found evidence for dramatic population growth in recent human history. It is unclear how this recent population growth, combined with the effects of negative natural selection, has affected patterns of…

Populations and Evolution · Quantitative Biology 2014-02-11 Kirk E. Lohmueller

Identifying disease genes from human genome is an important and fundamental problem in biomedical research. Despite many publications of machine learning methods applied to discover new disease genes, it still remains a challenge because of…

Quantitative Methods · Quantitative Biology 2017-05-23 Peng Yang

Data taking values on discrete sample spaces are the embodiment of modern biological research. "Omics" experiments produce millions of symbolic outcomes in the form of reads (i.e., DNA sequences of a few dozens to a few hundred…

Methodology · Statistics 2023-07-14 Antony Pearson , Manuel E. Lladser

The conventional way of identifying DNA motifs, solely based on match alignment information, is susceptible to a high number of spurious sites. A novel scoring system has been introduced by taking both match and mismatch alignment…

Quantitative Methods · Quantitative Biology 2014-03-03 Jian-Jun Shu , Kian Yan Yong

Motivation: The availability of thousands of invidual genomes of one species should boost rapid progress in personalized medicine or understanding of the interaction between genotype and phenotype, to name a few applications. A key…

Computational Engineering, Finance, and Science · Computer Science 2017-03-03 Agnieszka Danek , Sebastian Deorowicz , Szymon Grabowski

Electronic properties of DNA are believed to play a crucial role in many phenomena in living organisms, for example the location of DNA lesions by base excision repair (BER) glycosylases and the regulation of tumor-suppressor genes such as…

Other Quantitative Biology · Quantitative Biology 2012-02-21 Chi-Tin Shih , Stephen A. Wells , Ching-Ling Hsu , Yun-Yin Cheng , Rudolf A. Römer

Adaptation to local environments often occurs through natural selection acting on a large number of loci, each having a weak phenotypic effect. One way to detect these loci is to identify genetic polymorphisms that exhibit high correlation…

Populations and Evolution · Quantitative Biology 2015-03-20 Eric Frichot , Sean Schoville , Guillaume Bouchard , Olivier François

Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-identification. In this paper, we propose a fusing multi-task…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Sulan Zhai , Shunqiang Liu , Xiao Wang , Jin Tang

We investigate a densely packed, non-random arrangement of forty-six chromosomes (46,XY) in human nuclei. Here, we model systems-level chromosomal crosstalk by unifying intrinsic parameters (chromosomal length and number of genes) across…

Genomics · Quantitative Biology 2017-11-09 Sarosh N. Fatakia , Ishita S. Mehta , Basuthkar J. Rao

Genomic phenotypes, such as DNA methylation and chromatin accessibility, can be used to characterize the transcriptional and regulatory activity of DNA within a cell. Recent technological advances have made it possible to measure such…

Methodology · Statistics 2016-11-15 Jean Morrison , Noah Simon , Daniela Witten

We examine the distribution of heterozygous sites in nine European and nine Yoruban individuals whose genomic sequences were made publicly available by Complete Genomics. We show that it is possible to obtain detailed information about…

Populations and Evolution · Quantitative Biology 2012-12-14 Joshua G. Schraiber , Stephannie Shih , Montgomery Slatkin

A series of studies have revealed the among-population components of genetic variation are higher for the paternal Y chromosome than for the maternal mitochondrial DNA (mtDNA), which indicates sex-biased migrations in human populations.…

Populations and Evolution · Quantitative Biology 2013-10-30 Chuan-Chao Wang , Li Jin , Hui Li

Spanning two decades, the Encyclopaedia of DNA Elements (ENCODE) is a collaborative research project that aims to identify all the functional elements in the human and mouse genomes. To best serve the scientific community, all data…

Biomarker discovery is vital in advancing personalized medicine, offering insights into disease diagnosis, prognosis, and therapeutic efficacy. Traditionally, the identification and validation of biomarkers heavily depend on extensive…

Machine Learning · Computer Science 2024-09-25 Wangyang Ying , Dongjie Wang , Xuanming Hu , Ji Qiu , Jin Park , Yanjie Fu
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