Results 161 to 170 of about 3,233,192 (305)

web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning. [PDF]

Nucleic Acids Res, 2019
Röder B, Kersten N, Herr M, Speicher NK, Pfeifer N.   +4 more
europepmc   +1 more source

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

FEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner, Hainan Zhu, Carol Christine Bosholm, Heuy‐Ching Wang, Tracy Criswell, Anthony Atala, Jian‐Xing Ma, Yuanyuan Zhang   +7 more
wiley   +1 more source

Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. [PDF]

PLoS One, 2018
Taguchi YH.
europepmc   +1 more source

Registration of multi-view echocardiography data

, 2017
Three-dimensional transesophageal echocardiography (TEE) is a non-invasive imaging technique that is particularly suited for visualizing the heart in real-time. For these reasons, TEE is an useful imaging modality for intraprocedural guidance, for example in the case of catheter ablations for the treatment atrial fibrillation (AF).
Mulder, H.W., Beeldverwerking ISI, Cancer, Pluim, Josien, Viergever, Max, van Stralen, Marijn   +5 more
openaire   +2 more sources

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. [PDF]

PLoS One, 2017
Taguchi YH.
europepmc   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

FEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey, Vaishnavi Sanjayan, Praveen Singh, Shantanu Sengupta, Anand Kumar Bachhawat   +4 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Multi-View Representation Learning in Computer Vision [PDF]

Representations of data obtained from deep neural networks automatically encode structures in a data distribution that are helpful for solving arbitrary downstream tasks like classification, retrieval, etc.
A Chaudhuri (7758527)
core