Results 61 to 70 of about 165,987,094 (304)

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS 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

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS 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

Nonsquare Spectral Factorization for Nonlinear Control Systems [PDF]

open access: yes, 2005
This paper considers nonsquare spectral factorization of nonlinear input affine state space systems in continuous time. More specifically, we obtain a parametrization of nonsquare spectral factors in terms of invariant Lagrangian submanifolds and ...
Schaft, Arjan J. van der   +4 more
core   +2 more sources

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM

open access: yesMachine Learning and Knowledge Extraction, 2021
Unsupervised topic extraction is a vital step in automatically extracting concise contentual information from large text corpora. Existing topic extraction methods lack the capability of linking relations between these topics which would further help ...
Lars Hillebrand   +3 more
doaj   +1 more source

Integrative factorization of bidimensionally linked matrices [PDF]

open access: yesBiometrics, 2019
AbstractAdvances in molecular “omics” technologies have motivated new methodologies for the integration of multiple sources of high‐content biomedical data. However, most statistical methods for integrating multiple data matrices only consider data shared vertically (one cohort on multiple platforms) or horizontally (different cohorts on a single ...
Jun Young Park, Eric F. Lock
openaire   +4 more sources

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS 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

Factorization of Matrices and Minkowski's Conjecture [PDF]

open access: yesProceedings of the Glasgow Mathematical Association, 1961
Let Rn denote real Euclidean space of n dimensions. Ifdefine , and (as usual) so that, by the inequality of arithmetic and geometric means,Let Λ0 be the integer lattice, consisting of those points in Rn whose co-ordinates are integers. A non-singular n × n matrix M will be called a Minkowski matrix, if, for any point a ∈ Rn, there exists a point x ...
openaire   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

open access: yesFEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani   +3 more
wiley   +1 more source

Cholesky Factorization of Matrices [PDF]

open access: yes, 2020
Cholesky factorization is a type of matrix factorization which is used for solving system of linear equations. In this paper, we will study the factorization of real positive definite matrices by using Cholesky factorization.
Khin Myo Aye
core   +1 more source

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