Results 61 to 70 of about 17,677 (287)

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization [PDF]

PeerJ, 2017
Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution.
Xun Zhu, Travers Ching, Xinghua Pan, Sherman M. Weissman, Lana Garmire   +4 more
doaj   +2 more sources

LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates-0

, 2011
Copyright information:Taken from "LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates"BMC Bioinformatics 2006;7():175-175.Published online 28 Mar 2006PMCID:PMC1450309.Copyright © 2006 Wang et al; licensee BioMed
Andrew V Kossenkov (73124), Michael F Ochs (73125), Guoli Wang (59357)   +2 more
core   +1 more source

Graphical illustration of PCA(A), NMF(B), and sparse NMF(C).

, 2023
The matrix factorizations are reduced from three to two dimensions. PCA covers the solutions with a hyperplane, NMF constraints them between two vectors, and sparse NMF forces the solutions to be in the vicinity to the vectors.
János Abonyi (10106040), Ádám Ipkovich (15285785), Gyula Dörgő (13919393), Károly Héberger (390762)   +3 more
core   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Toward Industrial Private AI: A Two-Tier Framework for Data and Model Security [PDF]

, 2022
With the advances in 5G and IoT devices, industries are vastly adopting artificial intelligence (AI) techniques for improving classification and prediction-based services.
Qureshi, NMF, Khowaja, SA, Foschini, L, Khuwaja, P, Dev, K   +4 more
core   +1 more source

Spatiotemporal Sequential Delivery of Chidamide Regulates Macrophage Reprogramming in Lymphoma Microenvironment Through HDACs‐STAT3 Pathway

Advanced Science, EarlyView.
Our study identifies the HDACs‐STAT3 axis as key regulator for M2 macrophage accumulation in DLBCL. We developed Chid@M2pep‐EVs/TP, a pH‐responsive drug delivery system for M2 macrophage specific chidamide administration. By coupling M2‐targeted chidamide with EVs‐mediated delivery, this system reprograms M2 to M1 via HDAC inhibition and STAT3 ...
Bo Dai, Shuo Wang, Xiaotong Peng, Kunpeng Wu, Mengyao Wu, Zhaoning Lu, Haoshu Zhong, Xiaohan Qian, Shuiyi Tan, Hui Yang, Tanlezi Sun, Jing Wang, Jie Zhang, Hua Jiang, Yin Tong, Tong Chen   +15 more
wiley   +1 more source

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source

Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote homolog detection

BMC Bioinformatics, 2008
Background Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features.
Lee Soo-Young, Lee Jaehyung, Jung Inkyung, Kim Dongsup   +3 more
doaj   +1 more source

SymNMF-Net for The Symmetric NMF Problem

CoRR, 2022
Recently, many works have demonstrated that Symmetric Non-negative Matrix Factorization~(SymNMF) enjoys a great superiority for various clustering tasks. Although the state-of-the-art algorithms for SymNMF perform well on synthetic data, they cannot consistently obtain satisfactory results with desirable properties and may fail on real-world tasks like
Mingjie Li 0007, Hao Kong, Zhouchen Lin
openaire   +2 more sources

Using NMF for Analyzing War Logs [PDF]

, 2012
We investigate a semi-automated identification of technical problems occurred by armed forces weapon systems during mission of war. The proposed methodology is based on a semantic analysis of textual information in reports from soldiers (war logs).
Dirk Thorleuchter, Dirk Van den Poel
openaire   +1 more source