Results 71 to 80 of about 17,677 (287)
Advanced Science, EarlyView.A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi +23 more
wiley +1 more source
Theorems on Positive Data: On the Uniqueness of NMF
Computational Intelligence and Neuroscience, 2008 We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not. The theorems are illustrated by several examples showing the use of the theorems and their limitations.
Hans Laurberg +4 more
openaire +3 more sources
, 2019 Inputs and results of non-negative matrix factorization (NMF) analyses for various subsets of cells. We make use of NMF results throughout the analyses (see analysis files in archives Hydra_Seurat_NMF_regulators_analyses and Hydra_URD_analysis).
Cazet, Jack F.
core +1 more source
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
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
Posterior probabilistic clustering using NMF [PDF]
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008 We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes the uncertainty in clustering assignment. Furthermore, PPC is closely related to probabilistic latent semantic indexing (PLSI).
Chris H. Q. Ding +3 more
openaire +1 more source
, 2022 Learning the structure of microbial communities is critical in understanding the different community structures and functions of microbes in distinct individuals.
Cai, Yun
core
Advanced Science, EarlyView.Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 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
Advanced Science, EarlyView.The weakly‐solvating TFMSPyr electrolyte tailors the Li+ solvation structure by suppressing solvent coordination and promoting anion‐dominated solvation. This unique solvation environment induces preferential anion decomposition at electrode interfaces, forming robust inorganic rich S/CEI.
Bishnu P. Thapaliya +11 more
wiley +1 more source