Results 241 to 250 of about 41,048,805 (281)

Advances in multivariate data analysis: part 2

Behaviormetrika
Adachi, Kohei, van de Velden, Michel
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Transfer RNA‐Derived Small RNA‐5’tiRNAGln Drives HNRNPC Phase Separation to Promote Breast Cancer Bone Metastasis by Regulating IGF1R

Advanced Science, EarlyView.
This study reveals that 5'tiRNA‐Gln interacts with hnRNPC to promote IGF1R liquid‐liquid phase separation, which drives ERK1/2 signaling activation, EMT, and breast cancer bone metastasis. These findings highlight a novel mechanism of breast cancer bone metastasis and potential therapeutic target in metastatic breast cancer.
Bingnan Wang, Dongsong Liu, Xiaozhi Fan, Jiale Fan, Xuesi liu, Yu Wang, Zixin Wang, Mo Cheng, Ping Zhou, Wangjun Yan   +9 more
wiley   +1 more source

Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia

Advanced Science, EarlyView.
The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song, Youwen Qin, Jiahui Luo, Liping Liu, Chenyu Luo, Yinbin Qiu, Yiyi Zhong, Huanzi Zhong, Kui Wu, Meng Ni, Dong Wu, Min Dai, Shida Zhu, Hongda Chen   +13 more
wiley   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source

USP4‐Dependent CHAF1B Stabilization Regulates Distinct SETDB1 Ubiquitin States Linked to AKT T308 Signaling and Lipogenic Remodeling in HCC

Advanced Science, EarlyView.
USP4 stabilizes CHAF1B by limiting K48‐linked ubiquitination. Stabilized CHAF1B supports UHRF1‐associated K63‐linked SETDB1 ubiquitination and cytoplasmic redistribution, whereas CHAF1B loss favors VHL‐dependent K11‐associated degradative ubiquitination and proteasomal loss of SETDB1.
Saiyan Bian, Yun Tong, Wenkai Ni, Zhangzhi Tang, Weiting Chen, Kexin Ma, Lihan Jiang, Jiayu Shao, Xuyang He, Wenjie Zheng   +9 more
wiley   +1 more source

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Multivariate data analysis of NMR data

Journal of Pharmaceutical and Biomedical Analysis, 1991
Multivariate methods based on principal components (PCA and PLS) have been used to reduce NMR spectral information, to predict NMR parameters of complicated structures, and to relate shift data sets to dependent descriptors of biological significance.
U, Edlund, H, Grahn
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Multivariate Data Analysis

Technometrics, 1973
Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate
W. M. O'Fallon, W. W. Cooley, P. R. Lohnes   +2 more
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Multivariate Data Analysis

International Statistical Review / Revue Internationale de Statistique, 1972
I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and ...
J. C. Gower, W. W. Cooley, P. R. Lohnes
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A MULTIVARIATE ANALYSIS OF FAMILY DATA

American Journal of Epidemiology, 1981
The authors describe the application of multivariate analysis to the problem of estimating intra-family correlations and testing them for statistical significance. This is illustrated by a re-analysis of survey data collected by Miall and Oldham (Clin Sci 1958;17:459-87) on the familial aggregation of blood pressure.
A, Donner, J J, Koval
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Multidimensional Fitting for Multivariate Data Analysis

Journal of Computational Biology, 2010
Large multidimensional data matrices are frequent in biology. However, statistical methods often have difficulties dealing with such matrices because they contain very complex data sets. Consequently variable selection and dimensionality reduction methods are often used to reduce matrix complexity, although at the expense of information conservation. A
Berge, Claude, Froloff, Nicolas, Kalathur, Ravi Kiran Reddy, Maumy, Myriam, Poch, Olivier, Raffelsberger, Wolfgang, Wicker, Nicolas   +6 more
openaire   +4 more sources