Results 61 to 70 of about 23,872 (265)
Sparse data embedding and prediction by tropical matrix factorization
BMC Bioinformatics, 2021 Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models.
Amra Omanović +3 more
doaj +1 more source
The factors of a design matrix
Journal of Combinatorial Theory, Series A, 1977 AbstractLet X and Y be integral matrices of order n > 1 and suppose that these matrices satisfy the matrix equation XY = B, where B is a matrix with k in the n main diagonal positions and λ and μ in all other positions. Suppose further that k, λ, and μ are nonnegative integers and that λ occurs exactly the same number of times in each line of B and ...
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FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
A nonsymmetrical matrix and its factorizations
Mathematica Slovaca, 2019 Abstract We introduce a nonsymmetric matrix defined by q-integers. Explicit formulæ are derived for its LU-decomposition, the inverse matrices L −1 and U −1 and its inverse. Nonsymmetric variants of the Filbert and Lilbert matrices come out as consequences of our results for special choices of q and ...
Arikan, Talha +2 more
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Adaptive Kernel Graph Nonnegative Matrix Factorization
Information, 2023 Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized ...
Rui-Yu Li, Yu Guo, Bin Zhang
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Matrix factorization with Binary Components
CoRR, 2014 appeared in NIPS ...
Martin Slawski +2 more
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FEBS Letters, EarlyView.The pyruvate generator, which causes activation of respiration by extra‐mitochondrial Ca2+, is also present and functional in rat brainstem mitochondria, as it is in other brain regions. This finding is confirmed by experiments with a fully reconstituted malate–aspartate shuttle (MAS).
Grazyna Debska‐Vielhaber +7 more
wiley +1 more source
Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming
Applied Sciences, 2020 Recommender systems aim to estimate the judgment or opinion that a user might offer to an item. Matrix-factorization-based collaborative filtering typifies both users and items as vectors of factors inferred from item rating patterns.
Raúl Lara-Cabrera +3 more
doaj +1 more source
On Restricted Nonnegative Matrix Factorization
CoRR, 2016 Full version of an ICALP'16 ...
Dmitry Chistikov 0001 +4 more
openaire +5 more sources