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AICRF: ancestry inference of admixed population with deep conditional random field
Ancestry inference of admixed populations is an important issue in anthropology and studies of gene discovery, and characterization. Usually, local...
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Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks
BackgroundImage-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time,...
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Coralline Algal Population Explosion in an Overgrazed Seagrass Meadow: Conditional Outcomes of Intraspecific and Interspecific Interactions
Interactions such as mutualism and facilitation are common in ecosystems established by foundation species; however, their outcomes vary and show...
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Conditional knockdown of OsMLH1 to improve plant prime editing systems without disturbing fertility in rice
BackgroundHigh-efficiency prime editing (PE) is desirable for precise genome manipulation. The activity of mammalian PE systems can be largely...
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Conditional alternative movement tactics in male crocodiles
AbstractIn species where conflict is costly, individuals adopt alternative movement tactics to minimise the risk of competitive interactions....
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Kernel density estimation of conditional distributions to detect responses in satellite tag data
BackgroundAs levels of anthropogenic noise in the marine environment rise, it is crucial to quantify potential associated effects on marine mammals....
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A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
BackgroundRecent development of single cell sequencing technologies has made it possible to identify genes with different expression (DE) levels at...
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A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest
BackgroundIn recent years, the extensive use of drugs and antibiotics has led to increasing microbial resistance. Therefore, it becomes crucial to...
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Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields
BackgroundDe Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap...
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A novel sampling design considering the local heterogeneity of soil for farm field-level map** with multiple soil properties
Soil sampling is critical to obtaining reliable input for farm field-level digital soil map** (DSM). Sample size and location are the key issues...
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Random Forest for Genomic Prediction
We give a detailed description of random forest and exemplify its use with data from plant breeding and genomic selection. The motivations for using...
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A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout
We present the results of a large, US$8.9 million campaign-wide field experiment, conducted among 2 million moderate- and low-information persuadable...
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Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level
Goal-directed actions frequently require a balance between antagonistic processes (e.g., executing and inhibiting a response), often showing an...
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Mycorrhizal status and host genotype interact to shape plant nutrition in field grown maize (Zea mays ssp. mays)
Arbuscular mycorrhizal fungi (AMF) establish symbioses with the major cereal crops, providing plants with increased access to nutrients while...
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An integrated machine learning-based virtual screening strategy for biological weeding in maize field: a case study with HPPD
The habitancy of maize crops endorses a broad spectrum of post-emergence weeds. Of note, 4-hydroxyphenylpyruvate dioxygenase (HPPD) is regarded as a...
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Responses of bacterial community composition and diversity to multi-level nitrogen addition at different periods of growing season driven by conditional rare taxa in an alpine meadow
Rare species can switch between abundant and rare, respond to various external disturbances, enhance community resilience, and reduce the lag in...
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Richardson’s ground squirrel litter size–sex ratio trade-off reveals conditional adaptive sex allocation
Trivers and Willard proposed that female mammals should adjust their investment in male versus female offspring relative to their ability to produce...
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A Pixel-wise Segmentation Model to Identify Bur Chervil (Anthriscus caucalis M. Bieb.) Within Images from a Cereal Crop** Field
Because of insufficient effectiveness after herbicide application in autumn, bur chervil ( Anthriscus caucalis M. Bieb.) is often present in cereal...
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A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits
BackgroundImputation to whole-genome sequence is now possible in large sheep populations. It is therefore of interest to use this data in genome-wide...
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Bayesian optimal dynamic sampling procedures for on-farm field experimentation
For many decades, researchers have relied on small-scale agronomic experiments to provide input management recommendations to farmers. However, such...
