Results 71 to 80 of about 103,963 (248)
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
IEEE Access, 2019 This paper proposes an improved protein feature expression called segmented amino acid composition in position-specific scoring matrix (PSSM-SAA) in the field of subcellular localization prediction.
Shunfang Wang +5 more
doaj +1 more source
Sufficient Dimension Reduction for Classification
Statistica SinicaWe propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired by the mean variance index first proposed by Cui, Li and Zhong (2015), which measures the dependence between a categorical random variable with multiple classes and a ...
Chen, Xin +3 more
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
RMFGP: A Rotated Multi-Fidelity Gaussian Process Framework for Supervised Dimension Reduction
MathematicsHigh-dimensional surrogate modeling with limited high-fidelity data poses a major challenge in uncertainty quantification. Classical supervised dimension reduction methods often fail in this setting due to insufficient accurate observations, while low ...
Jiahao Zhang, Shiqi Zhang, Guang Lin
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Condition Assessment of PCI Bridge Girder a Result of The Reduction Prestressing Force
EPJ Web of Conferences, 2014 PCI bridge girders is known and widely used for many construction e.g.: bridge, wharf, flyover, and other application. PC Bridge girders have two types: Pre - tensioned girders and post - tensioned girders.
Suangga Made +2 more
doaj +1 more source
Sufficient dimensions reduction in regressions with categorical predictors
The Annals of Statistics, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiaromonte, Francesca +2 more
openaire +3 more sources
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Multivariate response directional regression: a projective resampling approach
Journal of Big DataIn high dimensional data analysis, directional regression is a widely used method for implementing linear sufficient dimension reduction by extracting core information from the complex data structure.
Ahreum Lee, Kyongwon Kim
doaj +1 more source