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Information seeking about genetically modified foods: readability of online information
Despite the widespread prevalence of genetically modified foods (GMFs) in the United States, majority of Americans are not equipped with adequate...
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The Information Theory of Aging
Information storage and retrieval is essential for all life. In biology, information is primarily stored in two distinct ways: the genome, comprising...
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Information decay and enzymatic information recovery for DNA data storage
Synthetic DNA has been proposed as a storage medium for digital information due to its high theoretical storage density and anticipated long storage...
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Plant genome information facilitates plant functional genomics
Main conclusionIn this review, we give an overview of plant sequencing efforts and how this impacts plant functional genomics research.
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Geometry of visuospatial working memory information in miniature gaze patterns
Stimulus-dependent eye movements have been recognized as a potential confound in decoding visual working memory information from neural signals. Here...
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An implementation of integrated information theory in resting-state fMRI
Integrated Information Theory was developed to explain and quantify consciousness, arguing that conscious systems consist of elements that are...
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Human languages with greater information density have higher communication speed but lower conversation breadth
Human languages vary widely in how they encode information within circumscribed semantic domains (for example, time, space, colour, human body parts...
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Pest risk information, agricultural outcomes and food security: evidence from Ghana
This article investigates the short-term effects of an information intervention that provided early warning pest alerts and integrated pest...
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Information fusion technology for terahertz spectra and hyperspectral imaging in wood species identification
This paper proposes the use of information fusion technology to identify different wood species by combining spectral and spatial information from...
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Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex
One of the most well-established tools for modeling the brain is the functional connectivity network, which is constructed from pairs of interacting...
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A guided network estimation approach using multi-omic information
IntoductionIn systems biology, an organism is viewed as a system of interconnected molecular entities. To understand the functioning of organisms it...
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Functional Enrichment Analysis Identifying Regulatory Information Associated with Human Fracture
Dozens of loci associated with fracture have been identified by genome-wide association studies (GWASs). However, most of these variants are located...
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What determines the information update rate in echolocating bats
The rate of sensory update is one of the most important parameters of any sensory system. The acquisition rate of most sensory systems is fixed and...
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A protein network refinement method based on module discovery and biological information
BackgroundThe identification of essential proteins can help in understanding the minimum requirements for cell survival and development to discover...
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Plasticity and Information
In this chapter, I discuss developmental plasticity in relation to the concept of reaction norms. Standard treatments of reaction norms have been... -
Minimum information guidelines for experiments structurally characterizing intrinsically disordered protein regions
An unambiguous description of an experiment, and the subsequent biological observation, is vital for accurate data interpretation. Minimum...
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Genetic evaluations of dairy goats with few pedigree data: different approaches to use molecular information
One of the limitations of implementing animal breeding programs in small-scale or extensive production systems is the lack of production records and...
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SCA: recovering single-cell heterogeneity through information-based dimensionality reduction
Dimensionality reduction summarizes the complex transcriptomic landscape of single-cell datasets for downstream analyses. Current approaches favor...
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Using deep neural networks to disentangle visual and semantic information in human perception and memory
Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic...
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Relative timing information and orthology in evolutionary scenarios
BackgroundEvolutionary scenarios describing the evolution of a family of genes within a collection of species comprise the map** of the vertices of...