Results 111 to 120 of about 2,367,896 (336)
Integrated Principal Components Analysis
Data integration, or the strategic analysis of multiple sources of data simultaneously, can often lead to discoveries that may be hidden in individualistic analyses of a single data source. We develop a new unsupervised data integration method named Integrated Principal Components Analysis (iPCA), which is a model-based generalization of PCA and serves
Tang, Tiffany M., Allen, Genevera I.
openaire +3 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Spatial and multivariate analysis of soybean productivity and soil physical-chemical attributes
The objective of this study was to evaluate the spatial variability of soybean yield, carbon stock, and soil physical attributes using multivariate and geostatistical techniques.
Ricardo N. Buss +5 more
doaj +1 more source
A multiple sequential orthogonal least squares algorithm for feature ranking and subset selection [PDF]
High-dimensional data analysis involving a large number of variables or features is commonly encountered in multiple regression and multivariate pattern recognition.
Billings, S.A., Wei, H.L.
core
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
Principal components′ analysis of multifocal electroretinogram in retinitis pigmentosa
Aims : To determine waveforms of multifocal electroretinogram (mfERG) in patients with retinitis pigmentosa (RP) contributing significantly to the overall retinal response by using principal components′ analysis.
Aniruddha Maiti +4 more
doaj +1 more source
Improved histogram-based anomaly detector with the extended principal component features [PDF]
Sunil Aryal +2 more
openalex +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
Permutation tests to estimate significances on Principal Components Analysis [PDF]
Principal Component Analysis is the most widely used multivariate technique to summarize information in a data collection with many variables. However, for it to be valid and useful the meaningful information must be retained and the noisy information ...
Vasco M. N. C. S. Vieira
doaj

