Results 61 to 70 of about 7,799,039 (309)
Drug Response Prediction as a Link Prediction Problem [PDF]
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, 2017 5 minute rapid-resource talk given at the NetBio track of ISMB-ECCB 2017 in Prague, CZ. Based on an approach using a network proximity algorithm on a heterogeneous network to predict drug response for cancer cell lines. Published in Nature Scientific Reports in January 2017.
Zachary Stanfield +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi +20 more
wiley +1 more source
A Link Prediction Method Based on Neural Networks
Applied Sciences, 2021 Link prediction to optimize network performance is of great significance in network evolution. Because of the complexity of network systems and the uncertainty of network evolution, it faces many challenges.
Keping Li, Shuang Gu, Dongyang Yan
doaj +1 more source
Link prediction in very large directed graphs: Exploiting hierarchical properties in parallel [PDF]
, 2014 Link prediction is a link mining task that tries to find new edges within a given graph. Among the targets of link prediction there is large directed graphs, which are frequent structures nowadays.
Cortés García, Claudio Ulises +1 more
core
Link Prediction in Bipartite Nested Networks [PDF]
Entropy, 2018 Real networks typically studied in various research fields—ecology and economic complexity, for example—often exhibit a nested topology, which means that the neighborhoods of high-degree nodes tend to include the neighborhoods of low-degree nodes. Focusing on nested networks, we study the problem of link prediction in complex networks, which aims at ...
Medo, Matúš +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Link prediction with hyperbolic geometry
Physical Review Research, 2020 Link prediction is a paradigmatic problem in network science with a variety of applications. In latent space network models this problem boils down to ranking pairs of nodes in the order of increasing latent distances between them. The network model with
Maksim Kitsak +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Geographic links and predictable returns
Journal of Business Finance & Accounting, 2020 AbstractUsing establishment‐level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography‐linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross‐firm return predictability and is not easily attributable to risk‐
Zuben Jin, Frank Weikai Li
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Link Prediction with Hypergraphs via Network Embedding
Applied Sciences, 2022 Network embedding is a promising field and is important for various network analysis tasks, such as link prediction, node classification, community detection and others.
Zijuan Zhao, Kai Yang, Jinli Guo
doaj +1 more source