Results 201 to 210 of about 36,894 (295)
Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold Learning. [PDF]
Burkhardt DB +4 more
europepmc +1 more source
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis +32 more
wiley +1 more source
Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis. [PDF]
Vizoso D +3 more
europepmc +1 more source
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source
TaGra: an open Python package for easily generating graphs from data tables through manifold learning. [PDF]
Torre D, Chicco D.
europepmc +1 more source
Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning. [PDF]
Tian T +4 more
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Revealing differential psychotic symptoms in schizophrenia and bipolar I disorder by manifold learning and network analyses. [PDF]
Kim YH +7 more
europepmc +1 more source
Scalable Manifold Learning and Related Topics
Thesis (Ph.D.)--University of Washington, 2017-06The subject of manifold learning is vast and still largely unexplored. As a subset of unsupervised learning it has a fundamental challenge in adequately defining the problem but whose solution is to an ...
McQueen, James
core
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang +13 more
wiley +1 more source

