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  • 検索条件 : 絞込み (MeSH = Machine Learning)
生物種 リソース名 タイトル
GBIF Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan , Biodiversity monitoring in Nakaikemi-shicchi , Fish specimens of Bihoro Museum , Fish Specimens of Water Environmental Field Station, Global and Local Environment Co-creation Institute, Ibaraki University , Fish specimens of Natural History Museum, Kishiwada City , Fish monitoring data in Lake Kasumigaura , Fish collection of the Kagoshima University Museum , Fish collection of the Museum of Nature and Human Activities, Hyogo , Fish Collection of Yokosuka City Museum , Fish Collection of Hokkaido University , ... Environment, taxonomy, and socioeconomics predict non-imperilment in freshwater fishes.
実験動物マウス RBRC06459 DAJIN enables multiplex genotyping to simultaneously validate intended and unintended target genome editing outcomes.
ショウジョウバエ DGRC#105668 EyeHex toolbox for complete segmentation of ommatidia in fruit fly eyes.
GBIF Diptera collection of National Museum of Nature and Science , Entomological Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan , Ibaraki Nature Museum, Arthropoda collection , Insect Specimen Database of Fukui City Museum of Natural History , Osaka Prefectural Minoh Park Insects Museum , Insect specimens in the Museum of Nature and Human Activities, Hyogo Prefecture, Japan , Insect specimens of Ryukyu University Museum (Fujukan) , Insect Collection of Natural History Museum and Institute, Chiba Mapping the global risk of chikungunya virus endemicity and autochthonous transmission following importation.
ヒト・動物細胞 ECC4(RCB0982) , TGBC18TKB(RCB1196) , WA-hT(RCB2279) , A549(RCB0098) , ECC10(RCB0983) , MKN45(RCB1001) , MKN1(RCB1003) De novo identification of universal cell mechanics gene signatures.
実験動物マウス RBRC06579 Machine learning identifies experimental brain metastasis subtypes based on their influence on neural circuits.
一般微生物 JCM1664 , JCM2779 Line image sensor-based colony fingerprinting system for rapid pathogenic bacteria identification.
実験動物マウス RBRC04414 An ex vivo system to study cellular dynamics underlying mouse peri-implantation development.
ヒト・動物細胞 KP4(RCB1005) A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level.
GBIF Plant Specimen Database of Tama Forest Science Garden, Forestry and Forest Products Research Institute, Japan Global spatial distribution of Prosopis juliflora - one of the world's worst 100 invasive alien species under changing climate using multiple machine learning models.
実験動物マウス RBRC09545 A gradual temporal shift of dopamine responses mirrors the progression of temporal difference error in machine learning.
線虫 Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training.
GBIF Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan , Mammal specimens of Oiso Municipal Museum , Nagoya-Mammals , Mammalian Specimens of the Yamagata Prefectural Museum , Mammal assemblages recorded by camera traps inside and outside the evacuation zone of the Fukushima Daiichi Nuclear Power Plant accident , Mammal specimens of Ryukyu University Museum (Fujukan) , Monitoring Sites 1000 Satoyama Mammals , Mammal specimens of Obihiro Centennial City Museum , Vertebrate specimens of Kumamoto City Museum , Mammalians Specimens of Akita Prefectural Museum , ... With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots.
ヒト・動物細胞 A549(RCB0098) Relationship between Liquid-Based Cytology Preservative Solutions and Artificial Intelligence: Liquid-Based Cytology Specimen Cell Detection Using YOLOv5 Deep Convolutional Neural Network.
GBIF Insect specimens of Kashihara City Museum of Insect Predicting amphibian intraspecific diversity with machine learning: Challenges and prospects for integrating traits, geography, and genetic data.
ヒト・動物細胞 MIA Paca2(RCB2094) In silico-labeled ghost cytometry.
ツメガエル・イモリ A rapid segmentation method of cell boundary for developing embryos using machine learning with a personal computer.
ニホンザル Local field potential dynamics in the primate cortex in relation to parkinsonism reveled by machine learning: A comparison between the primary motor cortex and the supplementary area.
ヒト・動物細胞 201B7(HPS0063) Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS).
GBIF Mollusca collection of National Museum of Nature and Science , Birds collection of Abiko City Museum of Birds , Bird specimens of the Yamashina Institute for Ornithology , Entomological Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan , Bird Specimens in the Museum of Nature and Human Activities, Hyogo, Japan , Bird collection of National Museum of Nature and Science , Mammal collection of National Museum of Nature and Science , Plant specimens deposited in Osaka Museum of Natural History, Japan Integrating life history traits into predictive phylogeography.