Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization [PDF]
iScience, 2022 Summary: Symptoms of adverse reactions to vaccines evolve over time, but traditional studies have focused only on the frequency and intensity of symptoms.
Kei Ikeda +16 more
doaj +2 more sources
Global and Local Tensor Factorization for Multi-criteria Recommender System [PDF]
Patterns, 2020 Summary: In multi-criteria recommender systems, matrix factorization characterizes users and items via latent factor vectors inferred from user-item rating patterns.
Shuliang Wang +5 more
doaj +2 more sources
Offline and online coupled tensor factorization with knowledge graph. [PDF]
PLoS ONEHow can we accurately decompose a temporal irregular tensor along while incorporating a related knowledge graph tensor in both offline and online streaming settings? PARAFAC2 decomposition is widely applied to the analysis of irregular tensors consisting
SeungJoo Lee, Yong-Chan Park, U Kang
doaj +2 more sources
Spatial Low-Rank Tensor Factorization and Unmixing of Hyperspectral Images
Computers, 2021 This work presents a method for hyperspectral image unmixing based on non-negative tensor factorization. While traditional approaches may process spectral information without regard for spatial structures in the dataset, tensor factorization preserves ...
William Navas-Auger, Vidya Manian
doaj +2 more sources
Smartphone dependence classification using tensor factorization. [PDF]
PLoS ONE, 2017 Excessive smartphone use causes personal and social problems. To address this issue, we sought to derive usage patterns that were directly correlated with smartphone dependence based on usage data.
Jingyun Choi +6 more
doaj +2 more sources
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data [PDF]
BMC BioinformaticsIn the past two decades, genomics has advanced significantly, with single-cell RNA-sequencing (scRNA-seq) marking a pivotal milestone. ScRNA-seq provides unparalleled insights into cellular diversity and has spurred diverse studies across multiple ...
Daniel Chafamo +2 more
doaj +2 more sources
Correction: Smartphone dependence classification using tensor factorization. [PDF]
PLoS ONE, 2017 [This corrects the article DOI: 10.1371/journal.pone.0177629.].
PLOS ONE Staff
doaj +2 more sources
Predicting clinically promising therapeutic hypotheses using tensor factorization [PDF]
BMC Bioinformatics, 2019 Background Determining which target to pursue is a challenging and error-prone first step in developing a therapeutic treatment for a disease, where missteps are potentially very costly given the long-time frames and high expenses of drug development ...
Jin Yao +3 more
doaj +2 more sources
Discriminative and Distinct Phenotyping by Constrained Tensor Factorization [PDF]
Scientific Reports, 2017 Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study them.
Yejin Kim +4 more
doaj +2 more sources
Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts [PDF]
Frontiers in Bioengineering and Biotechnology, 2017 In this study, we developed and evaluated a novel text-mining approach, using non-negative tensor factorization (NTF), to simultaneously extract and functionally annotate transcriptional modules consisting of sets of genes, transcription factors (TFs ...
Sujoy Roy +9 more
doaj +2 more sources