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Identifying phenotypes plays an important role in furthering our understanding of disease biology through practical applications within healthcare and the life sciences. The challenge of dealing with the complexities and noise within…

应用统计 · 统计学 2023-04-28 Andre Vauvelle , Hamish Tomlinson , Aaron Sim , Spiros Denaxas

Genotype-to-Phenotype (G2P) prediction plays a pivotal role in crop breeding, enabling the identification of superior genotypes based on genomic data. Rice (Oryza sativa), one of the most important staple crops, faces challenges in…

基因组学 · 定量生物学 2025-03-17 Yunxuan Dong , Siyuan Chen , Jisen Zhang

Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf…

计算机视觉与模式识别 · 计算机科学 2025-01-22 Sajjad Saleem , Adil Hussain , Nabila Majeed , Zahid Akhtar , Kamran Siddique

High-dimensional time series phenotypic data is becoming increasingly common within plant breeding programmes. However, analysing and integrating such data for genetic analysis and genomic prediction remains difficult. Here we show how…

For a globally recognized planting breeding organization, manually-recorded field observation data is crucial for plant breeding decision making. However, certain phenotypic traits such as plant color, height, kernel counts, etc. can only…

计算机视觉与模式识别 · 计算机科学 2021-03-23 Saeed Khaki , Nima Safaei , Hieu Pham , Lizhi Wang

Human phenotype-gene relations are fundamental to fully understand the origin of some phenotypic abnormalities and their associated diseases. Biomedical literature is the most comprehensive source of these relations, however, we need…

计算与语言 · 计算机科学 2020-04-14 Diana Sousa , Andre Lamurias , Francisco M. Couto

Plant breeding is one of the key strategies for further enhancement of crop yields; however, effective breeding strategies require phenotypic characterisation of the available germplasm. This study sought to characterise the phenotypic…

其他定量生物学 · 定量生物学 2020-08-12 Gabriele Mongiano , Patrizia Titone , Simone Pagnoncelli , Davide Sacco , Luigi Tamborini , Roberto Pilu , Simone Bregaglio

A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of numerical methods for model exploration assist in evaluating the…

定量方法 · 定量生物学 2016-01-26 Pierre Casadebaig , Bangyou Zheng , Scott Chapman , Neil Huth , Robert Faivre , Karine Chenu

An unsolved fundamental problem in biology and ecology is to predict observable traits (phenotypes) from a new genetic constitution (genotype) of an organism under environmental perturbations (e.g., drug treatment). The emergence of…

机器学习 · 计算机科学 2020-10-13 Di He , Lei Xie

The linking genotype to phenotype is the fundamental aim of modern genetics. We focus on study of links between gene expression data and phenotype data through integrative analysis. We propose three approaches. 1) The inherent complexity of…

定量方法 · 定量生物学 2015-06-30 Min Xu

Soybean production is susceptible to biotic and abiotic stresses, exacerbated by extreme weather events. Water limiting stress, i.e. drought, emerges as a significant risk for soybean production, underscoring the need for advancements in…

Models for genome-wide prediction and association studies usually target a single phenotypic trait. However, in animal and plant genetics it is common to record information on multiple phenotypes for each individual that will be genotyped.…

统计方法学 · 统计学 2014-12-09 Marco Scutari , Phil Howell , David J. Balding , Ian Mackay

It has been recently shown that sparse, nonnegative tensor factorization of multi-modal electronic health record data is a promising approach to high-throughput computational phenotyping. However, such approaches typically do not leverage…

机器学习 · 计算机科学 2018-08-09 Jette Henderson , Bradley A. Malin , Joyce C. Ho , Joydeep Ghosh

Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task across the world. The need for high yielding rice varieties is a…

Biomedical named entity recognition (NER) and entity linking (EL) strongly depend on annotated corpora, but the utility of these resources for benchmarking is often assumed rather than characterized. We present a corpus-centric framework…

计算与语言 · 计算机科学 2026-05-21 Robert Leaman , Rezarta Islamaj , Zhiyong Lu

In this paper, we investigate estimating emergence and biomass traits from color images and elevation maps of wheat field plots. We employ a state-of-the-art deconvolutional network for segmentation and convolutional architectures, with…

计算机视觉与模式识别 · 计算机科学 2018-01-30 Shubhra Aich , Anique Josuttes , Ilya Ovsyannikov , Keegan Strueby , Imran Ahmed , Hema Sudhakar Duddu , Curtis Pozniak , Steve Shirtliffe , Ian Stavness

Crop production needs to increase in a sustainable manner to meet the growing global demand for food. To identify crop varieties with high yield potential, plant scientists and breeders evaluate the performance of hundreds of lines in…

图像与视频处理 · 电气工程与系统科学 2019-06-25 Ali Moghimi , Ce Yang , James A. Anderson

The first step toward Seed Phenotyping i.e. the comprehensive assessment of complex seed traits such as growth, development, tolerance, resistance, ecology, yield, and the measurement of pa-rameters that form more complex traits is the…

计算机视觉与模式识别 · 计算机科学 2021-03-30 Venkat Margapuri , Mitchell Neilsen

Post-genomic research deals with challenging problems in screening genomes of organisms for particular functions or potential for being the targets of genetic engineering for desirable biological features. 'Phenotyping' of wild type and…

Quantitatively predicting phenotype variables by the expression changes in a set of candidate genes is of great interest in molecular biology but it is also a challenging task for several reasons. First, the collected biological…

应用统计 · 统计学 2017-07-21 Emilie Devijver , Mélina Gallopin , Emeline Perthame
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