Results 121 to 130 of about 8,419,643 (305)
WEB:a fraud prediction method of Internet lending using network embedding
Internet lending fraud prediction method based on association graph limits the mining efficiency and depth of features,as well as the reusability and expressibility of features.To solve this problem,the network embedding technology was introduced,and the
Cheng WANG, Pengfei SHU
doaj
Hyperbolic Heterogeneous Information Network Embedding
Heterogeneous information network (HIN) embedding, aiming to project HIN into a low-dimensional space, has attracted considerable research attention.
Xiao Wang, Yiding Zhang, C. Shi
semanticscholar +1 more source
Multiple Network Embeddings into Hypercubes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gupta, Ajay K., Hambrusch, Susanne E.
openaire +4 more sources
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
Nane: A Node2vec Extension for Attributed Network Embedding [PDF]
Traditional network representation learning methods focus solely on the network’s topology, ignoring other sources of information that could improve the learning process.
Sarah Abdulkareem Ahmed Ahmed +1 more
doaj +1 more source
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Background MiRNAs play significant roles in many fundamental and important biological processes, and predicting potential miRNA-disease associations makes contributions to understanding the molecular mechanism of human diseases. Existing state-of-the-art
Yuchong Gong +3 more
doaj +1 more source
Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke +4 more
wiley +1 more source
YIPFα1A expression is regulated by multilayered molecular mechanisms
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji +2 more
wiley +1 more source

