Results 141 to 150 of about 240,324 (313)

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

Genetic Diagnosis and Discovery Enabled by Large Language Models

open access: yesAdvanced Science, EarlyView.
We demonstrate that large language models (LLMs) can facilitate genetic diagnosis and discovery. LLMs were used to solve four types of genetic problems of sequentially increased complexity. An LLM‐based pipeline could analyze genetic variants in the genomic sequences of human hearing loss or rare genetic disease patients and assist in identifying ...
Tao Tu   +25 more
wiley   +1 more source

Do Children and Parents Agree on the Level of Asthma Control? A Systematic Review. [PDF]

open access: yesPediatr Pulmonol
Bousema S   +5 more
europepmc   +1 more source

Cortical Somatostatin Neurons Regulate Seizure Susceptibility via MINAR1/Gαs–cAMP Signaling

open access: yesAdvanced Science, EarlyView.
Our study identifies MINAR1 as a novel regulator of cortical interneuron excitability and seizure susceptibility. MINAR1 is preferentially expressed in SST+ interneurons. Genetic ablation of MINAR1 leads to seizure hypersensitivity, reduced SST+ neuron excitability, and impaired Gαs–cAMP signaling, disrupting the E/I balance.
Wei‐Tang Liu   +20 more
wiley   +1 more source

Learning To Mean: Teaching about Refugees

open access: yesWOW Stories, 2011
Lorraine Wilson
doaj  

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