LAUSR

Biased Random Walk Conditioned on Survival Among Bernoulli Obstacles: Subcritical Phase

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0 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+

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1 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

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1 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

Brains are Probabilistic, Electrophysiologically Intricate and Triune: A Biased- Random Walk Perspective on Computational Neuroscience

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0 Published in 2024 at "International Journal of Psychological Research"

DOI: 10.21500/20112084.7397

Abstract: Abstract: The pursuit of a unified theory that captures the intricacies of the brain and mind continues to be a significant challenge in theoretical neuroscience. This paper presents a novel, triune framework that utilizes the… read more here.

Keywords: brain; computational neuroscience; neuroscience; random walk ... See more keywords

Discovery of Herbal Remedies and Key Components for Major Depressive Disorder Through Biased Random Walk Analysis on a Multiscale Network

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0 Published in 2025 at "International Journal of Molecular Sciences"

DOI: 10.3390/ijms26052162

Abstract: Major depressive disorder (MDD) is a widespread psychiatric condition with substantial socioeconomic impacts, yet single-target pharmacotherapies often yield responses. To address its multifactorial nature, this study employed a multiscale network analysis of herbs, their active… read more here.

Keywords: depressive disorder; analysis; major depressive; multiscale network ... See more keywords