Results 111 to 120 of about 5,879,357 (336)

When Low Rank Representation Based Hyperspectral Imagery Classification Meets Segmented Stacked Denoising Auto-Encoder Based Spatial-Spectral Feature

open access: yesRemote Sensing, 2018
When confronted with limited labelled samples, most studies adopt an unsupervised feature learning scheme and incorporate the extracted features into a traditional classifier (e.g., support vector machine, SVM) to deal with hyperspectral imagery ...
Cong Wang   +3 more
doaj   +1 more source

Nurr1 Orchestrates Claustrum Development and Functionality

open access: yesAdvanced Science, EarlyView.
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan   +12 more
wiley   +1 more source

Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey

open access: yesAlgorithms
In decentralized systems, the quest for heightened security and integrity within blockchain networks becomes an issue. This survey investigates anomaly detection techniques in blockchain ecosystems through the lens of unsupervised learning, delving into ...
Christos Cholevas   +4 more
doaj   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

open access: yesAdvanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang   +8 more
wiley   +1 more source

Cell Segmentation Without Annotation by Unsupervised Domain Adaptation Based on Cooperative Self-Learning

open access: yesIEEE Access
Semantic cell segmentation from microscopic images is essential for the quantitative evaluation of cell morphology. Although supervised deep-learning-based models offer accurate segmentation, their performance degrades for unknown cell types.
Shintaro Miyaki   +5 more
doaj   +1 more source

Guiding new physics searches with unsupervised learning [PDF]

open access: diamond, 2019
Andrea De Simone, Thomas Jacques
openalex   +1 more source

p16Ink4a‐Positive Hepatocytes Drive Liver Fibrosis Through Activation of LIFR Family Pathway

open access: yesAdvanced Science, EarlyView.
This study found that, following the long‐term CCl4 treatment, p16high hepatocytes appeared in zone 3, spatially co‐localizing with fibrotic areas. A specific cluster of p16high hepatocytes upregulated CTF1/LIF expression which induced HSC activation and further liver fibrosis, as revealed by single cell transcriptomic analysis.
Koji Nishikawa   +23 more
wiley   +1 more source

Characterizing Stage‐Specific Cellular Dynamics and Microenvironmental Remodeling in Lung Adenocarcinoma by Single‐Cell RNA Sequencing

open access: yesAdvanced Science, EarlyView.
This study integrated early‐stage patient specimens with publicly available datasets encompassing non‐malignant lung tissues and advanced‐stage LUAD through single‐cell sequencing, revealing a dynamically remodeled tumor microenvironment characterized by a hypoxia‐adapted malignant subset (C5), immunosuppressive LGMN+ macrophages, STAT1‐driven ...
Bomiao Qing   +10 more
wiley   +1 more source

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