Results 211 to 220 of about 281,586 (259)

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

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Dimension Reduction Analysis

The Journal of Experimental Education, 1972
ABSTRACTIn multivariate analysis of variance the canonical variates of one effect may be correlated with the canonical variates of another effect. When the two effects are an interaction and a main effect this correlation interferes with the interpretation of the main effect.
openaire   +1 more source

Complementary dimension reduction

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2020
AbstractThe goal of supervised dimension reduction (SDR) is to find a compact yet informative representation of the feature vector. Most SDR algorithms are formulated to solve sequential optimization problems with objective functions being linear functions of the L2 norm of the data, for example, the well‐known Fisher's discriminant analysis (FDA).
Na Cui, Jianjun Hu, Feng Liang
openaire   +2 more sources

DIMENSION REDUCTION FOR DISCRETE SYSTEMS

Applied and Industrial Mathematics in Italy II, 2007
Object of this talk is the description of the overall behaviour of variational pair-interaction lattice systems defined on `thin' domains of ; i.e. on domains consisting on a finite number of mutually interacting copies of a portion of a -dimensional discrete lattice.
ALICANDRO, Roberto, BRAIDES A, CICALESE M.   +2 more
openaire   +3 more sources

Interpretable dimension reduction

Journal of Applied Statistics, 2005
Abstract The analysis of high-dimensional data often begins with the identification of lower dimensional subspaces. Principal component analysis is a dimension reduction technique that identifies linear combinations of variables along which most variation occurs or which best “reconstruct” the original variables.
Hugh A. Chipman, Hong Gu
openaire   +1 more source

RHEED Dimension Reduction

2021
Demonstrating how to analyze RHEED patterns using dimension reduction techniques: principal component analysis, nonnegative matrix factorization, and kmeans clustering.
Sehirlioglu, Alp, Kimberly Fraser (née Gliebe)   +1 more
openaire   +1 more source

Groupwise Dimension Reduction

Journal of the American Statistical Association, 2010
In many regression applications, the predictors fall naturally into a number of groups or domains, and it is often desirable to establish a domain-specific relation between the predictors and the response. In this article, we consider dimension reduction that incorporates such domain knowledge.
Li, Lexin, Li, Bing, Zhu, Li-Xing
openaire   +2 more sources