Results 131 to 140 of about 96,348 (290)

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

Advanced 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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

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

Advanced 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, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Haptic Perception via the Dynamics of a Flexible Body Inspired by an Ostrich's Neck

Advanced Intelligent Systems, EarlyView.
Inspired by avian anatomy, this study uses a flexible robotic neck to investigate haptic perception driven by musculoskeletal dynamics. By applying physical reservoir computing, the robot encodes external force interactions into its body dynamics, allowing effective object classification.
Kazashi Nakano, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

TreeFix-TP: Phylogenetic error-correction for infectious disease transmission network inference

, 2020
Samuel Sledzieski, Chengchen Zhang
openalex   +1 more source

Can Multiple Phylogenetic Trees Be Displayed in a Tree-Child Network Simultaneously? [PDF]

, 2022
Yufeng Wu, Louxin Zhang
openalex   +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

Advanced 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, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Genotypes and Phenotypes of Patients With TSPEAR‐Related Disorder: Evidence of a Predominant Dental Phenotype

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT TSPEAR (chr. 21q22.3) encodes a protein involved in tooth development and is predominantly expressed in the enamel knot. Biallelic loss of function variants in TSPEAR cause ectodermal dysplasia, tooth agenesis and sensorineural hearing loss. However, the role of TSPEAR in auditory processes is unclear.
Debora Vergani, Lucia Tiberi, Annarita Giliberti, Elia Dirupo, Laila Zaroili, Francesco Brancati, Michela Brena, Stefano Caraffi, Chiara De Luca, Livia Garavelli, Anna Virginia Gulino, Milena Mariani, Marzia Pollazzon, Angelo Selicorni, Samuela Landini, Ilaria Sani, Rosangela Artuso, Angela Peron   +17 more
wiley   +1 more source

Phylogenetic network analysis of SARS-CoV-2 genomes. [PDF]

Proc Natl Acad Sci U S A, 2020
Forster P, Forster L, Renfrew C, Forster M.   +3 more
europepmc   +1 more source

TREEasy: an automated workflow to infer gene trees, species trees, and phylogenetic networks from multilocus data [PDF]

, 2019
Yafei Mao, Siqing Hou, Evan P. Economo
openalex   +1 more source

Multimorbidity and animal models

Animal Models and Experimental Medicine, EarlyView.
Multimorbidity, defined as the coexistence of ≥2 chronic conditions, is associated with aging, genetics, and environmental factors. Animal models in multimorbidity research span three tiers: simple organisms for initial screening → rodents for mechanistic analysis → large mammals for clinical prediction.
Xinpei Wang, Yakun Ren, Xingjiu Yang, Mengyuan Li, Junxiu Liu, Xiaoyan Du, Wen Wang, Ran Gao   +7 more
wiley   +1 more source