AIMC Topic: Plants

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PlaNC-TE: a comprehensive knowledgebase of non-coding RNAs and transposable elements in plants.

Database : the journal of biological databases and curation Jan 1, 2018
Transposable elements (TEs) play an essential role in the genetic variability of eukaryotic species. In plants, they may comprise up to 90% of the total genome. Non-coding RNAs (ncRNAs) are known to control gene expression and regulation. Although th...
Phylogeny Databases, Genetic Molecular Sequence Annotation RNA, Untranslated DNA Transposable Elements MicroRNAs Plants Knowledge Bases
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Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae.

BMC bioinformatics Sep 30, 2017
BACKGROUND: Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic distribution, and mechanisms...
DNA, Satellite Open Reading Frames Geminiviridae User-Computer Interface ROC Curve Area Under Curve Internet Plants Machine Learning
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Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.

Scientific reports Aug 15, 2017
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...
Machine Learning Algorithms Phenotype Plant Roots Models, Biological Plants Reproducibility of Results Water ROC Curve Plant Development Quantitative Trait, Heritable Stress, Physiological Plant Physiological Phenomena
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Extracting T-S Fuzzy Models Using the Cuckoo Search Algorithm.

Computational intelligence and neuroscience Jul 6, 2017
A new method called cuckoo search (CS) is used to extract and learn the Takagi-Sugeno (T-S) fuzzy model. In the proposed method, the particle or cuckoo of CS is formed by the structure of rules in terms of number and selected rules, the antecedent, a...
Nonlinear Dynamics Nesting Behavior Birds Fuzzy Logic Plants Algorithms Animals
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Computational intelligence applied to discriminate bee pollen quality and botanical origin.

Food chemistry Jun 3, 2017
The aim of this work was to develop computational intelligence models based on neural networks (NN), fuzzy models (FM), and support vector machines (SVM) to predict physicochemical composition of bee pollen mixture given their botanical origin. To ob...
Bees Pollen Neural Networks, Computer Animals Support Vector Machine Plants
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Deep Learning for Plant Identification in Natural Environment.

Computational intelligence and neuroscience May 22, 2017
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental pla...
Machine Learning China Universities Forestry Cell Phone Classification Photography Environment Plants Datasets as Topic
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Geminivirus data warehouse: a database enriched with machine learning approaches.

BMC bioinformatics May 5, 2017
BACKGROUND: The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic los...
Geminiviridae Plants DNA, Single-Stranded Open Reading Frames DNA, Viral Databases, Genetic Machine Learning Algorithms Phylogeny Computational Biology
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Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.

Journal of integrative bioinformatics Dec 22, 2016
The performance of many learning and data mining algorithms depends critically on suitable metrics to assess efficiency over the input space. Learning a suitable metric from examples may, therefore, be the key to successful application of these algor...
Support Vector Machine Plants Base Sequence Nucleotide Motifs Databases, Genetic Cluster Analysis MicroRNAs
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Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction.

BMC bioinformatics Dec 15, 2016
BACKGROUND: MicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular biology nowadays...
Genome Computational Biology MicroRNAs Plants Nucleic Acid Conformation Eukaryota Computer Simulation Animals Genomics Humans Machine Learning
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The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.

Journal of biomedical semantics Nov 14, 2016
BACKGROUND: The systematic analysis of a large number of comparable plant trait data can support investigations into phylogenetics and ecological adaptation, with broad applications in evolutionary biology, agriculture, conservation, and the function...
Plants Biological Ontologies Phenotype
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