Results 131 to 140 of about 513,547 (285)
A generalisation of sparse PCA to multiple correspondence analysis
, 2012 Principal components analysis (PCA) for numerical variables and multiple correspondence analysis (MCA) for categorical variables are wellknown dimension reduction techniques.
Bernard, Anne +2 more
core
Advanced Science, EarlyView.Fuyuan Huoxue decoction improves lumbar interbody fusion in rats while reducing inflammatory macrophage activity and supporting bone‐forming stem cells. Experiments implicate extracellular DNA and TLR9/NF‐κB signaling in early responses. These findings point to coordinated control of inflammation and osteogenesis as a potential route to stronger spinal
Hongwei Gao +8 more
wiley +1 more source
Advanced Science, EarlyView.XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao +5 more
wiley +1 more source
A Sparse PCA Approach to Clustering
, 2016 We discuss a clustering method for Gaussian mixture model based on the sparse principal component analysis (SPCA) method and compare it with the IF-PCA method. We also discuss the dependent case where the covariance matrix $Σ$ is not necessarily diagonal.
Cai, T. Tony, Zhang, Linjun
openaire +2 more sources
Advanced Science, EarlyView.A cell culture lid with an integrated water compartment eliminates evaporation from microelectrode arrays while preserving gas exchange. Freed from the osmotic drift and repeated medium exchanges that disturb conventional recordings, patterned human iPSC‐derived neuronal networks are recorded continuously for five weeks. Single‐spike resolution reveals
Benedikt Maurer +4 more
wiley +1 more source
Advanced Science, EarlyView.Efoba, a novel bioactive component derived from aged garlic, confers neuroprotection against intracerebral hemorrhage. It acts on microglia to suppress CTSC release, inhibits NET‐mediated neural injury, and blocks pathological microglia‐neutrophil crosstalk. This study provides a highly promising lead compound for hemorrhagic‐stroke therapy.
Junjun Meng +7 more
wiley +1 more source
Sparse PCA from sparse linear regression
, 2019 © 2018 Curran Associates Inc.All rights reserved. Sparse Principal Component Analysis (SPCA) and Sparse Linear Regression (SLR) have a wide range of applications and have attracted a tremendous amount of attention in the last two decades as canonical ...
Park, Sung Min +2 more
core
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Cultural capital influences a wide range of social and economic outcomes, yet quantitative measures suitable for policy analysis remain limited. We develop county‐level cultural capital indices for the US based on Bourdieu's framework of objectified, embodied, and institutionalized cultural capital.
Pratyoosh Kashyap +2 more
wiley +1 more source
Kernel-Based Dimension Reduction Method for Time Series Nowcasting
IEEE AccessNowcasts are closely related to big data. Currently, the most popular nowcast model-building approach is to use the factor bridge equation (BE) model or factor mixed data sampling (MIDAS) model, where the factors are extracted from large datasets using ...
Thanh Do Van, Hai Nguyen Minh
doaj +1 more source
AIChE Journal, EarlyView.Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source