Protein–protein interaction network of E. coli K‐12 has significant high‐dimensional cavities: new insights from algebraic topological studies
Sign Up to like & getrecommendations! Published in 2022 at "FEBS Open Bio"
DOI: 10.1002/2211-5463.13437
Abstract: As a model system, Escherichia coli has been used to study various life processes. A dramatic paradigm shift has occurred in recent years, with the study of single proteins moving toward the study of dynamically interacting… read more here.
Keywords: network; dimensional cavities; ppi network; high dimensional ... See more keywords
Breaking the Electronic Conductivity Bottleneck of Manganese Oxide Family for High‐Power Fluorinated Graphite Composite Cathode by Ligand‐Field High‐Dimensional Constraining Strategy
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202209210
Abstract: Primary lithium fluorinated graphite (Li/CFx) batteries with superior energy density are an indispensable energy supply for multiple fields but suffer from sluggish reaction kinetics of the CFx cathode. Designing composite cathodes emerges as a solution… read more here.
Keywords: composite cathode; conductivity; dimensional constraining; high dimensional ... See more keywords
In‐silico generation of high‐dimensional immune response data in patients using a deep neural network
Sign Up to like & getrecommendations! Published in 2022 at "Cytometry Part A"
DOI: 10.1002/cyto.a.24709
Abstract: Technologies for single‐cell profiling of the immune system have enabled researchers to extract rich interconnected networks of cellular abundance, phenotypical and functional cellular parameters. These studies can power machine learning approaches to understand the role… read more here.
Keywords: immune response; high dimensional; immune; silico generation ... See more keywords
High‐dimensional single‐cell proteomics analysis identifies immune checkpoint signatures and therapeutic targets in ulcerative colitis
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Immunology"
DOI: 10.1002/eji.201847862
Abstract: Immune checkpoints are regulators of immune cells and play key roles in the modulation of immune responses. The role of checkpoints in autoimmune disease is poorly understood but likely to be central since checkpoint inhibition… read more here.
Keywords: single cell; high dimensional; immune cell; checkpoint ... See more keywords
Feature selection for high‐dimensional regression via sparse LSSVR based on Lp ‐norm
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22334
Abstract: When solving many regression problems, there exist a large number of input features. However, not all features are relevant for current regression, and sometimes, including irrelevant features may deteriorate the learning performance. Therefore, it is… read more here.
Keywords: high dimensional; feature selection; regression; lssvr ... See more keywords
Time series change detection using reservoir computing networks for remote sensing data
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22984
Abstract: In this study, a multivariate time series forecasting model applicable to high‐dimensional short‐term forecasting is proposed. The Reservoir Computing Network (RCN) state reduction method is investigated to address the dimensionality arising from high‐dimensional data. To… read more here.
Keywords: time; time series; series; high dimensional ... See more keywords
Hierarchical classification of microorganisms based on high-dimensional phenotypic data.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biophotonics"
DOI: 10.1002/jbio.201700047
Abstract: The classification of microorganisms by high-dimensional phenotyping methods such as FTIR spectroscopy is often a complicated process due to the complexity of microbial phylogenetic taxonomy. A hierarchical structure developed for such data can often facilitate… read more here.
Keywords: high dimensional; classification; phenotypic data; hierarchical classification ... See more keywords
An adaptive sampling method for high-dimensional shift-invariant signals
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DOI: 10.1002/mma.4323
Abstract: In this paper, an adaptive method for sampling and reconstructing high-dimensional shift-invariant signals is proposed. First, the integrate-and-fire sampling scheme and an approximate reconstruction algorithm for one-dimensional bandlimited signals are generalized to shift-invariant signals. Then,… read more here.
Keywords: shift; high dimensional; invariant signals; shift invariant ... See more keywords
Stabilization in a high‐dimensional chemotaxis system involving arbitrary superlinear degradation
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.7503
Abstract: The chemotaxis‐consumption system with generalized logistic source ut=Δu−∇·(uS(x,u,v)·∇v)+λu−μuα,x∈Ω,t>0,vt=Δv−uv,x∈Ω,t>0, is considered under homogeneous Neumann boundary conditions in a bounded smooth domain Ω⊂ℝn(n≥1) with suitably regular positive initial data. Here λ, μ > 0, α > 1 and S∈C2(Ω¯×[0,∞)2;ℝn×n) is a given… read more here.
Keywords: chemotaxis system; system; stabilization high; chemotaxis ... See more keywords
Probabilistic partition of unity networks for high‐dimensional regression problems
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DOI: 10.1002/nme.7207
Abstract: We explore the probabilistic partition of unity network (PPOU‐Net) model in the context of high‐dimensional regression problems and propose a general framework focusing on adaptive dimensionality reduction. With the proposed framework, the target function is… read more here.
Keywords: regression problems; probabilistic partition; dimensional regression; partition unity ... See more keywords
Transparency of high‐dimensional propensity score analyses: Guidance for diagnostics and reporting
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DOI: 10.1002/pds.5412
Abstract: The high‐dimensional propensity score (HDPS) is a semi‐automated procedure for confounder identification, prioritisation and adjustment in large healthcare databases that requires investigators to specify data dimensions, prioritisation strategy and tuning parameters. In practice, reporting of… read more here.
Keywords: high dimensional; propensity score; dimensional propensity; transparency ... See more keywords