Results 21 to 30 of about 1,206,915 (318)
Using Gene Expression to Study Specialized Metabolism—A Practical Guide
Frontiers in Plant Science, 2021 Plants produce a vast array of chemical compounds that we use as medicines and flavors, but these compounds’ biosynthetic pathways are still poorly understood.
Riccardo Delli-Ponti +2 more
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Bridging the Molecular-Cellular Gap in Understanding Ion Channel Clustering
Frontiers in Pharmacology, 2020 The clustering of many voltage-dependent ion channel molecules at unique neuronal membrane sites such as axon initial segments, nodes of Ranvier, or the post-synaptic density, is an active process mediated by the interaction of ion channels with scaffold
Valerie Abigail Nirenberg, Ofer Yifrach
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Acoustic animal identification using unsupervised learning
Methods in Ecology and Evolution, 2023 Passive acoustic monitoring is usually presented as a complementary approach to monitoring wildlife communities and assessing ecosystem conditions. Automatic species detection methods support biodiversity monitoring and analysis by providing information ...
Maria J. Guerrero +4 more
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Genetics Selection Evolution, 2008 A procedure to measure connectedness among groups in large-sized genetic evaluations is presented. It consists of two steps: (a) computing coefficients of determination (CD) of comparisons among groups of animals; and (b) building sets of connected ...
Laloë Denis +2 more
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The Astrophysical Journal, 1985 The cluster correlation function xi sub c(r) is compared with the particle correlation function, xi(r) in cosmological N-body simulations with a wide range of initial conditions. The experiments include scale-free initial conditions, pancake models with a coherence length in the initial density field, and hybrid models.
J. Barnes +3 more
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Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions
Frontiers in Neuroscience, 2019 Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive neurodegenerative condition with limited therapeutic options at present. Survival from symptom onset ranges from 3 to 5 years depending on genetic, demographic, and phenotypic ...
Vincent Grollemund +15 more
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Sequential Hierarchical Pattern Clustering [PDF]
, 2009 Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance.
Niranjan, Mahesan +5 more
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Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Vikalpa, 2018 Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data.
Pritha Guha
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Distributed Dynamic Cluster-Head Selection and Clustering for Massive IoT Access in 5G Networks
Applied Sciences, 2019 With the rapid growth of Internet-of-things (IoT) devices, IoT communication has become an increasingly crucial part of 5G wireless communication systems.
Yifeng Zhao +4 more
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Histology-informed automatic parcellation of white matter tracts in the rat spinal cord
Frontiers in Neuroanatomy, 2022 The white matter is organized into “tracts” or “bundles,” which connect different parts of the central nervous system. Knowing where these tracts are located in each individual is important for understanding the cause of potential sensorial, motor or ...
Harris Nami +4 more
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