Results 81 to 90 of about 4,393,923 (290)
Random Projections and Dimension Reduction
CoRR, 2020 30 ...
Rishi Advani, Madison Crim, Sean O'Hagan
openaire +2 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
The Generalized Matrix Decomposition Biplot and Its Application to Microbiome Data
mSystems, 2019 Exploratory analysis of human microbiome data is often based on dimension-reduced graphical displays derived from similarities based on non-Euclidean distances, such as UniFrac or Bray-Curtis.
Yue Wang +3 more
doaj +3 more sources
A note on structural adaptive dimension reduction
, 2009 The paper introduces and discusses different estimation methods for multi-index models where the indices are parametric and the link function is nonparametric. We provide a new algorithm that extends the ideas of Hristache and colleagues by an additional
Polzehl, Joerg +3 more
core +1 more source
Global state of harm reduction 2020. [PDF]
, 2020 he Global State of Harm Reduction is the only report that provides an independent analysis of harm reduction in the world. Now in its the seventh edition, the Global State of Harm Reduction 2020 is the most comprehensive global mapping of harm reduction ...
core
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
Dimension reduction in quantum sampling of stochastic processes
npj Quantum InformationQuantum technologies offer a promising route to the efficient sampling and analysis of stochastic processes, with potential applications across the sciences.
Chengran Yang +3 more
doaj +1 more source
Subset selection in dimension reduction methods [PDF]
Dimension reduction methods play an important role in multivariate statistical analysis, in particular with high-dimensional data. Linear methods can be seen as a linear mapping from the original feature space to a dimension reduction subspace.
Luca Scrucca
core
Upper Cohen-Macaulay Dimension [PDF]
, 2004 In this paper, we define a homological invariant for finitely generated modules over a commutative noetherian local ring, which we call upper Cohen-Macaulay dimension.
Tokuji Araya +5 more
core +1 more source
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