Results 171 to 180 of about 1,167,222 (309)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Plant Diversity and Seasonal Variation Drive Animal Diversity and Community Structure in Eastern China. [PDF]

open access: yesAnimals (Basel)
Chen X   +10 more
europepmc   +1 more source

Phylogenetic position of three Condylostoma species (Protozoa, Ciliophora, Heterotrichea) inferred from the small subunit rRNA gene sequence

open access: hybrid, 2008
Wenbo Guo   +9 more
openalex   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

Diverse, novel mycoviruses coinfecting the phytopathogenic fungus <i>Corynespora cassiicola</i> from <i>Sesamum indicum</i>. [PDF]

open access: yesFront Cell Infect Microbiol
Liu M   +9 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

open access: yesAdvanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez   +19 more
wiley   +1 more source

Dimorphic enantiostyly and its function for pollination by carpenter bees in a pollen‐rewarding Caribbean bloodwort

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Flowers that present their anthers and stigma in close proximity can achieve precise animal‐mediated pollen transfer, but risk self‐pollination. One evolutionary solution is reciprocal herkogamy. Reciprocity of anther and style positions among different plants (i.e., a genetic dimorphism) is common in distylous plants, but very rare in
Steven D. Johnson   +5 more
wiley   +1 more source

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