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Analysis of the uncharted, druglike property space by self-organizing maps
Physicochemical properties are fundamental to predict the pharmacokinetic and pharmacodynamic behavior of drug candidates. Easily calculated...
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Identification of environment types and adaptation zones with self-organizing maps; applications to sunflower multi-environment data in Europe
Key messageWe evaluate self-organizing maps (SOM) to identify adaptation zones and visualize multi-environment genotypic responses. We apply SOM to...
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Landscape classification with self-organizing map using user participation and environmental data: the case of the Seoul Metropolitan Area
This study aimed to develop a method for assessing landscapes using environmental data and user-generated data, which are commonly employed in...
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Diversity, structure, and application of self organizing map on plant species in homegardens
The high diversity of plant species in homegardens contributes to the provision of a range of goods and services, as well as considerably benefiting...
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Colour sorting of red oak, yellow poplar and maple veneers using self-organizing map: comparisons between different camera genres
Colour sorting is a vital process in manufacturing of high-quality wood products. It is however a manual process in a large majority of manufacturing...
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Self-organizing maps: a powerful tool for capturing genetic diversity patterns of populations
The maintenance of genetic diversity is fundamental to ensure the population’s viability and to perceive how the evolutionary factors act on these....
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Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements
BackgroundAssigning chromatin states genome-wide (e.g. promoters, enhancers, etc.) is commonly performed to improve functional interpretation of...
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hESC-derived striatal progenitors grafted into a Huntington’s disease rat model support long-term functional motor recovery by differentiating, self-organizing and connecting into the lesioned striatum
BackgroundHuntington’s disease (HD) is a motor and cognitive neurodegenerative disorder due to prominent loss of striatal medium spiny neurons...
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Yield stability analysis of maize hybrids using the self-organizing map of Kohonen
The purpose of this study is to classify 32 commercial maize hybrids with regard to grain yield stability by using an artificial neural network...
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Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures
BackgroundAccurate cancer classification is essential for correct treatment selection and better prognostication. microRNAs (miRNAs) are small RNA...
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Asclepiadoideae subfamily (Apocynaceae): ethnopharmacology, biological activities and chemophenetics based on pregnane glycosides
Apocynaceae, one of the largest plant families with over 5.100 widely distributed species, serves as a significant model for evolutionary and...
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Self-organization, quality control, and preclinical studies of human iPSC-derived retinal sheets for tissue-transplantation therapy
Three-dimensional retinal organoids (3D-retinas) are a promising graft source for transplantation therapy. We previously developed self-organizing...
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A comparative gene co-expression analysis using self-organizing maps on two congener filmy ferns identifies specific desiccation tolerance mechanisms associated to their microhabitat preference
BackgroundFilmy-ferns (Hymenophyllaceae) are poikilohydric, homoiochlorophyllous desiccation-tolerant (DT) epiphytes. They can colonize lower and...
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Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenoty** platform
BackgroundWith environmental deterioration, natural resource scarcity, and rapid population growth, mankind is facing severe global food security...
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Yuri Georgievich Puzachenko (1940–2018): Biographic and Semantic Analysis
AbstractThis issue of the journal is dedicated to Yuri Georgievich Puzachenko, an outstanding ecologist and geographer. We tried to trace the stages...
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eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells
BackgroundBioinformatics capability to analyze spatio–temporal dynamics of gene expression is essential in understanding animal development. Animal...
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CircTHBS1 drives gastric cancer progression by increasing INHBA mRNA expression and stability in a ceRNA- and RBP-dependent manner
Circular RNAs (circRNAs) play vital regulatory roles in the progression of multiple cancers. In our study, transcriptome analysis and self-organizing...
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Moderate protein intake percentage in mice for maintaining metabolic health during approach to old age
Nutritional requirements for maintaining metabolic health may vary with each life stage, such as young, middle, and old age. To investigate the...
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Bioregionalization of Albania: Mismatch between the flora and the climate suggests that our models of Southern European bioregions are in need of a revision
We analysed the floristic subdivisions of Albania by hierarchical clustering of all the vascular plant species of Albania over a grid of 25 km cells,...
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Assessing and Predicting Soil Quality in Heavy Metal-Contaminated Soils: Statistical and ANN-Based Techniques
This study aimed to evaluate the pollution status of soils contaminated with heavy metals using different statistical techniques and artificial...
