Results 91 to 100 of about 307,863 (250)

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

spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R [PDF]

open access: yes
In this paper, we present an R package that combines feature-based (X) data and graph-based (G) data for prediction of the response Y . In this particular case, Y is observed for a subset of the observations (labeled) and missing for the remainder ...
Mark Culp
core  

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

newalexander/supervised-cadres: Supervised cadre models via TensorFlow

open access: yes, 2019
<p>Implementation of supervised cadre models in TensorFlow. Support for regression and classification models.
Alexander New
core   +1 more source

Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework

open access: yesIEEE Access, 2019
Saliency mapping is an efficient means of processing large amounts of incoming visual information from images and videos. Existing methods based on feature integration and construction error provide a rough saliency mapping and are sensitive to real ...
Yujie Li   +3 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

open access: yesFEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang   +4 more
wiley   +1 more source

Supervised and Unsupervised Learning Technology in the Study of Rodent Behavior

open access: yesFrontiers in Behavioral Neuroscience, 2017
Quantifying behavior is a challenge for scientists studying neuroscience, ethology, psychology, pathology, etc. Until now, behavior was mostly considered as qualitative descriptions of postures or labor intensive counting of bouts of individual movements.
Katsiaryna V. Gris   +2 more
doaj   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

open access: yesFEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg   +14 more
wiley   +1 more source

Discerning protein pools by selective staining with self‐labeling tags

open access: yesFEBS Letters, EarlyView.
Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley   +1 more source

Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines

open access: yesEnergies
In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures.
Mustafa Karaköse, Özgün Yücel
doaj   +1 more source

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