Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alexis Boukouvalas"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S10, Pp 1-19 (2020)
Abstract Background Oscillatory genes, with periodic expression at the mRNA and/or protein level, have been shown to play a pivotal role in many biological contexts. However, with the exception of the circadian clock and cell cycle, only a few such g
Externí odkaz:
https://doaj.org/article/129c1bd1b85642938e04a9589c549a45
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Autobiographical memory specificity has been associated with cognitive function, depression, and independence in older adults. This longitudinal study of 162 older adults moving to active supported living environments tracks changes in the role of th
Externí odkaz:
https://doaj.org/article/c997e104f36c48979cfca75cde7e4e3d
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Single-cell RNA-seq (scRNAseq) is a powerful tool to study heterogeneity of cells. Recently, several clustering based methods have been proposed to identify distinct cell populations. These methods are based on different statistical models and usuall
Externí odkaz:
https://doaj.org/article/9f33f15e483843319c6adfa621fcc443
Publikováno v:
Genome Biology, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract High-throughput single-cell gene expression experiments can be used to uncover branching dynamics in cell populations undergoing differentiation through pseudotime methods. We develop the branching Gaussian process (BGP), a non-parametric mo
Externí odkaz:
https://doaj.org/article/0f80be5a7e04439f9ce790507f07aea5
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0162259 (2016)
The K-means algorithm is one of the most popular clustering algorithms in current use as it is relatively fast yet simple to understand and deploy in practice. Nevertheless, its use entails certain restrictive assumptions about the data, the negative
Externí odkaz:
https://doaj.org/article/7b140fbfb4c5441183eff318a0a28272
Publikováno v:
Holland, C A, Boukouvalas, A, Clarkesmith, D & Cooke, R 2021, ' Specific Autobiographical Recall Mediates Impact of Cognition and Depression on Independence Function and Well-Being in Older Adults ', Frontiers in Psychology, vol. 12, 652600 . https://doi.org/10.3389/fpsyg.2021.652600
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology
FRONTIERS IN PSYCHOLOGY
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology
FRONTIERS IN PSYCHOLOGY
Autobiographical memory specificity has been associated with cognitive function, depression, and independence in older adults. This longitudinal study of 162 older adults moving to active supported living environments tracks changes in the role of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36780e2a5dfb433479fa3f702ba56ba2
https://research.manchester.ac.uk/en/publications/32ece7c8-b129-44ad-877c-a5d01a6c6ace
https://research.manchester.ac.uk/en/publications/32ece7c8-b129-44ad-877c-a5d01a6c6ace
Autor:
Nuha BinTayyash, Sokratia Georgaka, Alexis Boukouvalas, Magnus Rattray, Sumon Ahmed, S. T. John, James Hensman
Publikováno v:
Bintayyash, N, Georgaka, S, John, S T, Ahmed, S, Boukouvalas, A, Hensman, J & Rattray, M 2021, ' Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments ', Bioinformatics, vol. 37, no. 21, pp. 3788-3795 . https://doi.org/10.1093/bioinformatics/btab486
Motivation The negative binomial distribution has been shown to be a good model for counts data from both bulk and single-cell RNA-sequencing (RNA-seq). Gaussian process (GP) regression provides a useful non-parametric approach for modelling temporal
Publikováno v:
CDC
Online learning has traditionally focused on the expected rewards. In this paper, a risk-averse online learning problem under the performance measure of the mean-variance of the rewards is studied. Both the bandit and full information settings are co
Publikováno v:
Ahmed, S, Rattray, M & Boukouvalas, A 2018, ' GrandPrix: Scaling up the Bayesian GPLVM for single-cell data ', Bioinformatics . https://doi.org/10.1093/bioinformatics/bty533
Bioinformatics
Bioinformatics
Motivation The Gaussian Process Latent Variable Model (GPLVM) is a popular approach for dimensionality reduction of single-cell data and has been used for pseudotime estimation with capture time information. However, current implementations are compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160d927d836ca29892fa37ae03ddc63e
https://zenodo.org/record/1305101
https://zenodo.org/record/1305101
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:1337-1347
Calibration of stochastic traffic microsimulation models is a challenging task. This paper proposes a fast iterative probabilistic precalibration framework and demonstrates how it can be successfully applied to a real-world traffic simulation model o