Results 241 to 250 of about 9,721,388 (323)

scHeteroNet: A Heterophily‐Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection

open access: yesAdvanced Science, EarlyView.
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu   +7 more
wiley   +1 more source

A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery

open access: yesAdvanced Science, EarlyView.
Knowledge‐Guided Drug Relational Predictor (KGDRP), a graph representation learning approach, effectively integrates multiple omics data, including biological network data, gene expression data, and sequence data that incorporates chemical molecular structures.
Qing Ye   +10 more
wiley   +1 more source

A long-lasting low oxygen saturation hiding Titusville hemoglobin diagnosis in a premature 14-month-old child - case report. [PDF]

open access: yesItal J Pediatr
Patria MF   +7 more
europepmc   +1 more source

DPImpute: A Genotype Imputation Framework for Ultra‐Low Coverage Whole‐Genome Sequencing and its Application in Genomic Selection

open access: yesAdvanced Science, EarlyView.
DPImpute is a two‐step pipeline that outperforms existing tools in whole‐genome SNP imputation, particularly under conditions of ultra‐low coverage sequencing, small sample sizes, and limited references. It enables precise imputation for single blastocyst cells, supporting genomic selection at the pre‐implantation stage.
Weigang Zheng   +11 more
wiley   +1 more source

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