AIMC Topic: Species Specificity

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CMImpute: cross-species and tissue imputation of species-level DNA methylation samples across mammalian species.

Genome biology May 20, 2025
The large-scale application of the mammalian methylation array has substantially expanded the availability of DNA methylation data in mammalian species. However, this data captures only a small portion of species-tissue combinations. To address this,...
Humans Mammals Species Specificity Organ Specificity Animals DNA Methylation Software
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Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

PloS one Apr 3, 2025
Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfly fever. Moreover, sandflies exhibit species-specificity in transmitting particular pathogen species, with females being responsible for disease trans...
Species Specificity Insect Vectors Phlebotomus Male Deep Learning Psychodidae Female Animals Neural Networks, Computer
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Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

PLoS genetics Mar 19, 2025
Deep learning techniques are increasingly utilized to analyze large-scale single-cell RNA sequencing (scRNA-seq) data, offering valuable insights from complex transcriptome datasets. Geneformer, a pre-trained model using a Transformer Encoder archite...
Sequence Analysis, RNA Species Specificity RNA-Seq Animals Mice Gene Expression Profiling Deep Learning Single-Cell Analysis Transcriptome Humans
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Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural network.

Biology letters Jan 15, 2025
Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and morphological analyses of them have provided insights into the ecological and behavioural characteristics of wing patterns. Conventional methods for dors...
Animals Male Convolutional Neural Networks Neural Networks, Computer Female Wings, Animal Sex Characteristics Butterflies Species Specificity
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Contrastive machine learning reveals species -shared and -specific brain functional architecture.

Medical image analysis Dec 12, 2024
A deep comparative analysis of brain functional connectome across species in primates has the potential to yield valuable insights for both scientific and clinical applications. However, the interspecies commonality and differences are inherently ent...
Connectome Macaca Animals Magnetic Resonance Imaging Species Specificity Machine Learning Brain Humans
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AI-based coral species discrimination: A case study of the Siderastrea Atlantic Complex.

PloS one Dec 11, 2024
Species delimitation in hard corals remains controversial even after 250+ years of taxonomy. Confusing taxonomy in Scleractinia is not the result of sloppy work: clear boundaries are hard to draw because most diagnostic characters are quantitative an...
Anthozoa Animals Fuzzy Logic Neural Networks, Computer Species Specificity Artificial Intelligence
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m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications.

Computers in biology and medicine Sep 3, 2024
Epigenetic modifications, particularly RNA methylation and histone alterations, play a crucial role in heredity, development, and disease. Among these, RNA 5-methylcytosine (m5C) is the most prevalent RNA modification in mammalian cells, essential fo...
Databases, Genetic RNA Animals 5-Methylcytosine Machine Learning Species Specificity Humans Algorithms Reproducibility of Results
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Cross-Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide-Level Deep Neural Network.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 30, 2024
Cross-species prediction of TF binding remains a major challenge due to the rapid evolutionary turnover of individual TF binding sites, resulting in cross-species predictive performance being consistently worse than within-species performance. In thi...
Polymorphism, Single Nucleotide Computational Biology Animals Humans Nucleotides Binding Sites Neural Networks, Computer Transcription Factors Species Specificity Deep Learning Mice
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Deep learning for identifying bee species from images of wings and pinned specimens.

PloS one May 28, 2024
One of the most challenging aspects of bee ecology and conservation is species-level identification, which is costly, time consuming, and requires taxonomic expertise. Recent advances in the application of deep learning and computer vision have shown...
Wings, Animal Neural Networks, Computer Bees Animals Deep Learning Species Specificity Image Processing, Computer-Assisted
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A robotic falcon induces similar collective escape responses in different bird species.

Journal of the Royal Society, Interface May 1, 2024
Patterns of collective escape of a bird flock from a predator are fascinating, but difficult to study under natural conditions because neither prey nor predator is under experimental control. We resolved this problem by using an artificial predator (...
Animals Birds Predatory Behavior Falconiformes Robotics Escape Reaction Species Specificity
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