Results 281 to 290 of about 142,276 (359)

CRISPR/Cas9‐Assisted Microrobots for Fast and Ultrasensitive “On‐The‐Fly” Next‐Generation DNA Detection

open access: yesAdvanced Functional Materials, EarlyView.
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti   +3 more
wiley   +1 more source

Reviewer #2 (Public Review): Accelerated spike-triggered non-negative matrix factorization reveals coordinated ganglion cell subunit mosaics in the primate retina

open access: gold
Sören J Zapp   +9 more
openalex   +1 more source

Accelerated spike-triggered non-negative matrix factorization reveals coordinated ganglion cell subunit mosaics in the primate retina

open access: yes
Zapp SJ   +9 more
europepmc   +1 more source

Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization

IEEE Transactions on Cybernetics, 2020
As a variant of non-negative matrix factorization (NMF), symmetric NMF (SymNMF) can generate the clustering result without additional post-processing, by decomposing a similarity matrix into the product of a clustering indicator matrix and its transpose.
Yuheng Jia   +3 more
semanticscholar   +3 more sources

Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorization

Briefings Bioinform., 2023
Metabolism refers to a series of orderly chemical reactions used to maintain life activities in organisms. In healthy individuals, metabolism remains within a normal range.
Hong-Tao Gao   +6 more
semanticscholar   +1 more source

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization

ACM Transactions on Knowledge Discovery from Data, 2023
Clustering is a popular research topic in the field of data mining, in which the clustering method based on non-negative matrix factorization (NMF) has been widely employed.
Dexian Wang   +6 more
semanticscholar   +1 more source

Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization

IEEE Transactions on Network Science and Engineering, 2021
Community detection, aiming at determining correct affiliation of each node in a network, is a critical task of complex network analysis. Owing to its high efficiency, Symmetric and Non-negative Matrix Factorization (SNMF) is frequently adopted to handle
Xin Luo   +4 more
semanticscholar   +1 more source

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