scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning. [PDF]
Qi G +9 more
europepmc +1 more source
Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network. [PDF]
El-Saka HAA, Obaya I, Lee S, Jang B.
europepmc +1 more source
ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi +8 more
wiley +1 more source
MetaMDA: explainable prediction of microbe-drug association utilizing random walks on a microbe-metabolite-drug heterogeneous network. [PDF]
Wang Q, Chen S, Miao X, Liu Y, Liu B.
europepmc +1 more source
A novel bi-directional heterogeneous network selection method for disease and microbial association prediction. [PDF]
Guan J, Zhang ZG, Liu Y, Wang M.
europepmc +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Protein function prediction using GO similarity-based heterogeneous network propagation. [PDF]
Hu S, Zhao B.
europepmc +1 more source
Recommendation algorithm based on attributed multiplex heterogeneous network. [PDF]
Yang Z, Cheng J.
europepmc +1 more source
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning. [PDF]
Dai W, Wang Y, Yan S, Yu Q, Cheng X.
europepmc +1 more source

