Results 131 to 140 of about 135,346 (336)

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

A Global Sampling Based Image Matting Using Non-Negative Matrix Factorization [PDF]

Mehran University Research Journal of Engineering and Technology, 2017
Image matting is a technique in which a foreground is separated from the background of a given image along with the pixel wise opacity. This foreground can then be seamlessly composited in a different background to obtain a novel scene.
NAVEED ALAM, MUHAMMAD SARIM, ABDUL BASIT SHAIKH   +2 more
doaj  

Non-negative sparse coding

, 2002
Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this type of data representation and its relation to standard sparse coding and non ...
Hoyer, Patrik O.
core   +2 more sources

Long non‐coding RNAs as therapeutic targets in head and neck squamous cell carcinoma and clinical application

FEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran, Ruchi A. Patel, Amogh Chariyamane, Ratna B. Ray   +3 more
wiley   +1 more source

Investigating microstructural variation in the human hippocampus using non-negative matrix factorization

NeuroImage, 2020
In this work we use non-negative matrix factorization to identify patterns of microstructural variance in the human hippocampus. We utilize high-resolution structural and diffusion magnetic resonance imaging data from the Human Connectome Project to ...
Raihaan Patel, Christopher J. Steele, Anthony G.X. Chen, Sejal Patel, Gabriel A. Devenyi, Jürgen Germann, Christine L. Tardif, M. Mallar Chakravarty   +7 more
doaj  

Matrigel inhibits elongation and drives endoderm differentiation in aggregates of mouse embryonic stem cells

FEBS Open Bio, EarlyView.
Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel, Rachel Brown, Alexa Rabeling, Mubeen Goolam   +3 more
wiley   +1 more source

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization

Big Data Mining and Analytics
Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third non-negative factorization matrix, and has shown impressive clustering ...
Jiyang Yu, Hangjun Che, Man-Fai Leung, Cheng Liu, Wenhui Wu, Zheng Yan   +5 more
doaj   +1 more source

Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization [PDF]

, 2011
Meng Sun, Hugo Van hamme
openalex   +1 more source

The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise

FEBS Open Bio, EarlyView.
Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji, Hae Sung Lee, Haesung Lee, Jong‐Hee Kim   +3 more
wiley   +1 more source

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation

FEBS Open Bio, EarlyView.
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley   +1 more source