AIMC Topic: Phylogeny
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Taxonomy, biological characterization and fungicide sensitivity assays of Hypomyces cornea sp. nov. causing cobweb disease on Auricularia cornea.
Fungal biology
Dec 31, 2023
Auricularia cornea is an important edible mushroom crop in China but the occurrence of cobweb disease has cause significance economic loss in its production. The rate of disease occurrence is 16.65% all over the country. In the present study, a new p...
Parsing 20 Years of Public Data by AI Maps Trends in Proteomics and Forecasts Technology.
Journal of proteome research
Dec 14, 2023
The trends of the last 20 years in biotechnology were revealed using artificial intelligence and natural language processing (NLP) of publicly available data. Implementing this "science-of-science" approach, we capture convergent trends in the field ...
A novel method for identifying key genes in macroevolution based on deep learning with attention mechanism.
Scientific reports
Nov 13, 2023
Macroevolution can be regarded as the result of evolutionary changes of synergistically acting genes. Unfortunately, the importance of these genes in macroevolution is difficult to assess and hence the identification of macroevolutionary key genes is...
Unsupervised machine learning for species delimitation, integrative taxonomy, and biodiversity conservation.
Molecular phylogenetics and evolution
Oct 5, 2023
Integrative taxonomy, combining data from multiple axes of biologically relevant variation, is a major goal of systematics. Ideally, such taxonomies will derive from similarly integrative species-delimitation analyses. Yet, most current methods rely ...
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.
The New phytologist
Sep 7, 2023
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. Palynology is typically performed manually by microscopic analysis; a specialised and time-consuming task limited in taxonomical precision and sampling...
ModelRevelator: Fast phylogenetic model estimation via deep learning.
Molecular phylogenetics and evolution
Aug 16, 2023
Selecting the best model of sequence evolution for a multiple-sequence-alignment (MSA) constitutes the first step of phylogenetic tree reconstruction. Common approaches for inferring nucleotide models typically apply maximum likelihood (ML) methods, ...
Risk Assessment of the Possible Intermediate Host Role of Pigs for Coronaviruses with a Deep Learning Predictor.
Viruses
Jul 15, 2023
Swine coronaviruses (CoVs) have been found to cause infection in humans, suggesting that Suiformes might be potential intermediate hosts in CoV transmission from their natural hosts to humans. The present study aims to establish convolutional neural ...
A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape.
NPJ systems biology and applications
Jul 6, 2023
Shape measurements are crucial for evolutionary and developmental biology; however, they present difficulties in the objective and automatic quantification of arbitrary shapes. Conventional approaches are based on anatomically prominent landmarks, wh...
Supervised learning and model analysis with compositional data.
PLoS computational biology
Jun 30, 2023
Supervised learning, such as regression and classification, is an essential tool for analyzing modern high-throughput sequencing data, for example in microbiome research. However, due to the compositionality and sparsity, existing techniques are ofte...
On the fractal patterns of language structures.
PloS one
May 18, 2023
Natural Language Processing (NLP) makes use of Artificial Intelligence algorithms to extract meaningful information from unstructured texts, i.e., content that lacks metadata and cannot easily be indexed or mapped onto standard database fields. It ha...
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