Results 111 to 120 of about 415,661 (284)
A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
Advanced Healthcare Materials, EarlyView.Chamber‐specific decellularized extracellular matrices (ECMs) were developed, preserving native proteomic profiles of ventricular and atrial myocardium. These innate biochemical cues differentially modulate cardiomyocyte subtypes to drive engineered heart tissue development and function, highlighting the importance of incorporating regional ECM cues in
Dong Gyu Hwang +7 more
wiley +1 more source
PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS
Jurnal Kesehatan Masyarakat Andalas, 2009 PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables that are correlated with one another but largely independent of other subset of variables are ...
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.A robust method to generate functional human iPSC‐derived endothelial cells using inducible ETV2 expression. These cells self‐organize into stable, lumenized microvascular networks within microfluidic chips, surpassing conventional differentiation methods.
Shun Zhang +12 more
wiley +1 more source
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
, 2018 Modern applications increasingly involve high-dimensional and heterogeneous data, e.g., datasets formed by combining numerous measurements from myriad sources.
Balzano, Laura +2 more
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Advanced Healthcare Materials, EarlyView.Engineered microparticle topographies direct human mesenchymal stem cell osteogenesis without biochemical additives. This osteogenic commitment is driven by canonical Hedgehog signaling and followed by temporal IGF‐II engagement. Two‐photon polymerization demonstrates spatial control, enabling the engineering of topographical gradients that pattern ...
Fatmah I. Ghuloum +5 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.The synthesis process of MM@PCD@QNPs and its potential mechanism for treating PCOS. (A) Assembly steps of MM@PCD@QNPs. (B) Synthesis and decomposition of MM@PCD@QNPs. (C) Potential therapeutic mechanisms of MM@PCD@QNPs for PCOS. PCD, PABP conjugated with DEX polymer; QUR, quercetin; CDI, N, N′‐carbonyldiimidazole; DEX, dextran; PABP, 4‐(hydroxymethyl ...
Wenzhu Li +9 more
wiley +1 more source
Tutorial: Principal Components Analysis (PCA) in R
, 2010 Found this tutorial by Emily Mankin on how to do principal components analysis (PCA) using R. Has a nice example with R code and several good references. The example starts by doing the PCA manually, then uses R's built in prcomp() function to do the same PCA.
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Advanced Healthcare Materials, EarlyView.Interface transmigration reprograms triple‐negative breast cancer cells, triggering a shared switch toward more aggressive and invasive phenotypes. Using a collagen I interface model, this study identifies shared transcriptional changes involving proliferation, chromatin remodeling, and DNA repair pathways.
Cornelia Clemens +3 more
wiley +1 more source