AIMC Topic: Viridiplantae

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The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents' Exposure to Urban Greenness.

International journal of environmental research and public health Jul 25, 2018
Many studies have established that urban greenness is associated with better health outcomes. Yet most studies assess urban greenness with overhead-view measures, such as park area or tree count, which often differs from the amount of greenness perce...
Humans Female Adult Male Deep Learning Qualitative Research Surveys and Questionnaires Interviews as Topic Urban Population Residence Characteristics Environment Design Walking Health Behavior Hong Kong Housing Viridiplantae
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VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.

Journal of biosciences Jan 1, 2020
Subcellular localization prediction of the proteome is one of major goals of large-scale genome or proteome sequencing projects to define the gene functions that could be possible with the help of computational modeling techniques. Previously, differ...
Software ROC Curve Computational Biology Proteome Support Vector Machine Databases, Protein Datasets as Topic Plant Proteins Plant Cells Viridiplantae Vacuoles
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SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments.

Bioinformatics (Oxford, England) Feb 1, 2017
MOTIVATION: Chloroplasts are organelles found in plants and involved in several important cell processes. Similarly to other compartments in the cell, chloroplasts have an internal structure comprising several sub-compartments, where different protei...
Machine Learning Software Computational Biology Membrane Proteins Plant Proteins Protein Transport Sequence Analysis, Protein Chloroplasts Viridiplantae
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