Results 141 to 150 of about 240,324 (313)
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
Creating Lifelong Relationships: Children’s Connections to Characters
Kathryn Tompkins
doaj
Exploring Oral Health Challenges and Barriers to Dental Care Among Children in Cabo Verde: A Qualitative Study. [PDF]
Ilozumba O +3 more
europepmc +1 more source
Genetic Diagnosis and Discovery Enabled by Large Language Models
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
When Literature Discussion Seems to Go Nowhere: Revaluing Teaching and Learning
Lisa Thomas
doaj
Do Children and Parents Agree on the Level of Asthma Control? A Systematic Review. [PDF]
Bousema S +5 more
europepmc +1 more source
Cortical Somatostatin Neurons Regulate Seizure Susceptibility via MINAR1/Gαs–cAMP Signaling
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
Parent emotion regulation difficulties statistically mediate the association between parental adverse childhood experiences and child emotion regulation. [PDF]
Freeman SE +4 more
europepmc +1 more source

