Results 71 to 80 of about 54,863 (259)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
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 +3 more
doaj +1 more source
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).
Thorleuchter, Dirk, Van den Poel, Dirk
openaire +1 more source
Spectro-temporal post-smoothing in NMF based single-channel source separation [PDF]
, 2012 In this paper, we propose a new, simple, fast, and effective method to enforce temporal smoothness on nonnegative matrix factorization (NMF) solutions by post-smoothing the NMF decomposition results.
Erdoğan, Hakan, Grais, Emad Mounir
core
Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017 In this paper, we propose a method for separation of moving sound sources. The method is based on first tracking the sources and then estimation of source spectrograms using multichannel nonnegative matrix factorization (NMF) and extracting the sources ...
Joonas Nikunen +2 more
semanticscholar +1 more source
Advanced Science, EarlyView.Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong +21 more
wiley +1 more source
Bayesian semi non-negative matrix factorisation [PDF]
, 2016 Non-negative Matrix Factorisation (NMF) has become a standard method for source identification when data, sources and mixing coefficients are constrained to be positive-valued.
Belanche Muñoz, Luis Antonio +2 more
core
PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping
Advanced Science, EarlyView.scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su +7 more
wiley +1 more source
A flexible R package for nonnegative matrix factorization
BMC Bioinformatics, 2010 Background Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining. Recent applications of NMF in bioinformatics have
Seoighe Cathal, Gaujoux Renaud
doaj +1 more source
eLife, 2022 Sequencing of cell-free DNA (cfDNA) is currently being used to detect cancer by searching both for mutational and non-mutational alterations. Recent work has shown that the length distribution of cfDNA fragments from a cancer patient can inform tumor ...
Gabriel Renaud +10 more
doaj +1 more source