Results 71 to 80 of about 493,672 (330)

Improving reduced-order models through nonlinear decoding of projection-dependent outputs

Patterns, 2023
Summary: A fundamental hindrance to building data-driven reduced-order models (ROMs) is the poor topological quality of a low-dimensional data projection.
Kamila Zdybał, Alessandro Parente, James C. Sutherland   +2 more
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

A tied-weight autoencoder for the linear dimensionality reduction of sample data

Scientific Reports
Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than nonlinear methods, they can provide a linear ...
Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee   +3 more
doaj   +1 more source

A Clustering-Based Dimensionality Reduction Method Guided by POD Structures and Its Application to Convective Flow Problems

Algorithms
Proper orthogonal decomposition (POD) is a widely used linear dimensionality reduction technique, but it often fails to capture critical features in complex nonlinear flows.
Qingyang Yuan, Bo Zhang
doaj   +1 more source

ENSO dynamics in current climate models: an investigation using nonlinear dimensionality reduction [PDF]

Nonlinear Processes in Geophysics, 2008
Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality.
I. Ross, P. J. Valdes, S. Wiggins
doaj  

DDX3X induces mesenchymal transition of endothelial cells by disrupting BMPR2 signaling

FEBS Open Bio, EarlyView.
Elevated DDX3X expression led to downregulation of BMPR2, a key regulator of endothelial homeostasis and function. Our co‐immunoprecipitation assays further demonstrated a molecular interaction between DDX3X and BMPR2. Notably, DDX3X promoted lysosomal degradation of BMPR2, thereby impairing its downstream signaling and facilitating endothelial‐to ...
Yu Zhang, Jing Wang, De‐Hui Qian, Yang‐Fan Lv, Tian‐Le Cheng, Da‐Peng Wang, Jing Zhang, Ye Fan   +7 more
wiley   +1 more source

C2α‐carbanion‐protonating glutamate discloses tradeoffs between substrate accommodation and reaction rate in actinobacterial 2‐hydroxyacyl‐CoA lyase

FEBS Open Bio, EarlyView.
Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn, Barbara Seroka, Ryszard Lazny, Zenon Lotowski, Thore Rohwerder   +4 more
wiley   +1 more source

nPCA: a linear dimensionality reduction method using a multilayer perceptron

Frontiers in Genetics
Background: Linear dimensionality reduction techniques are widely used in many applications. The goal of dimensionality reduction is to eliminate the noise of data and extract the main features of data.
Juzeng Li, Yi Wang, Yi Wang
doaj   +1 more source

Reaction coordinates by nonlinear dimensionality reduction

Chinese Journal of Chemical Physics, 2022
Deriving reaction coordinates for the characterization of chemical reactions has long been a demanding task. In our previous work [ACS Cent. Sci. 3, 407 (2017)], the reaction coordinate of a (retro-) Claisen rearrangement in aqueous solution optimized through a Bayesian measure, a linear combination of bond lengths formation and breakage, was judged to
Zhen Zhang, Yao Kun Lei, Jun Zhang, Yi Qin Gao   +3 more
openaire   +1 more source

The Shape and Dimensionality of Phylogenetic Tree-Space Based on Mitochondrial Genomes [PDF]

, 2010
Phylogenetic analyses of large and diverse data sets generally result in large sets of competing phylogenetic trees. Consensus tree methods used to summarize sets of competing trees discard important information regarding the similarity and distribution ...
James C. Wilgenbusch, Kyle A. Gallivan, Wen Huang   +2 more
core   +1 more source