Biased Random Walk Conditioned on Survival Among Bernoulli Obstacles: Subcritical Phase
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Mathematical Physics"
DOI: 10.1007/s00220-019-03644-9
Abstract: We consider a discrete time biased random walk conditioned to avoid Bernoulli obstacles on $${\mathbb {Z}}^d$$ Z d ( $$d\ge 2$$ d ≥ 2 ) up to time N . This model is known to… read more here.
Keywords: biased random; walk; bernoulli obstacles; random walk ... See more keywords
Accurately modeling biased random walks on weighted networks using node2vec+
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad047
Abstract: Motivation Accurately representing biological networks in a low-dimensional space, also known as network embedding, is a critical step in network-based machine learning and is carried out widely using node2vec, an unsupervised method based on biased… read more here.
Keywords: random walks; biased random; weighted graphs; using node2vec ... See more keywords
Explainable Drug Repurposing Approach From Biased Random Walks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3191392
Abstract: Drug repurposing is a highly active research area, aiming at finding novel uses for drugs that have been previously developed for other therapeutic purposes. Despite the flourishing of methodologies, success is still partial, and different… read more here.
Keywords: random walks; biased random; explainable drug; drug repurposing ... See more keywords