canonical correlation analysis Search Results


canonical correlation analysis  (Canon inc)
90
Canon inc canonical correlation analysis
Canonical Correlation Analysis, supplied by Canon inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/10__4081_slash_jlimnol__2006__41-4-14-17?v=Canon+inc
Average 90 stars, based on 1 article reviews
canonical correlation analysis - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
canonical correlation analysis (cca) method  (RStudio)
90
RStudio canonical correlation analysis (cca) method
The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results <t>of</t> <t>Canonical</t> Correlation Analysis <t>(CCA)</t> showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).
Canonical Correlation Analysis (Cca) Method, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/pmc06979317-74-16-23?v=RStudio
Average 90 stars, based on 1 article reviews
canonical correlation analysis (cca) method - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
data-driven fault detection for industrial processes - canonical correlation analysis and projection based methods  (Vieweg GmbH)
90
Vieweg GmbH data-driven fault detection for industrial processes - canonical correlation analysis and projection based methods
The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results <t>of</t> <t>Canonical</t> Correlation Analysis <t>(CCA)</t> showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).
Data Driven Fault Detection For Industrial Processes Canonical Correlation Analysis And Projection Based Methods, supplied by Vieweg GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/10__1088_slash_1757___899x_slash_1024_slash_1_slash_012101-101-32-36?v=Vieweg+GmbH
Average 90 stars, based on 1 article reviews
data-driven fault detection for industrial processes - canonical correlation analysis and projection based methods - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
canonical correlation analysis  (CH Instruments)
90
CH Instruments canonical correlation analysis
The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results <t>of</t> <t>Canonical</t> Correlation Analysis <t>(CCA)</t> showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).
Canonical Correlation Analysis, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/pm25387718-19-9-13?v=CH+Instruments
Average 90 stars, based on 1 article reviews
canonical correlation analysis - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
parkinson’s disease: item selection based on canonical correlation analysis  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare parkinson’s disease: item selection based on canonical correlation analysis
The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results <t>of</t> <t>Canonical</t> Correlation Analysis <t>(CCA)</t> showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).
Parkinson’s Disease: Item Selection Based On Canonical Correlation Analysis, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/pm23581431-0-0-87?v=Johns+Hopkins+HealthCare
Average 90 stars, based on 1 article reviews
parkinson’s disease: item selection based on canonical correlation analysis - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
sparse canonical correlation analysis scca  (E-Prime Inc)
86
E-Prime Inc sparse canonical correlation analysis scca
a) the significant canonical correlation mode identified by sparse canonical correlation analysis <t>(sCCA)</t> between the <t>VPT</t> <t>cortical</t> signature and clinical risk factors. b) clinical loadings on the significant correlation mode. GA: gestational age; BW: birth weight; VENT: duration of mechanical ventilation; CPAP: duration of continuous positive airway pressure; TPN: duration of total parenteral nutrition. c) cortical loadings on the significant correlation mode. d) associations between the brain score and neurodevelopmental outcomes at 20 months.
Sparse Canonical Correlation Analysis Scca, supplied by E-Prime Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/canonical+correlation+analysis/bio_rxiv__2025__10__17__683086-22-33-20?v=E-Prime+Inc
Average 86 stars, based on 1 article reviews
sparse canonical correlation analysis scca - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier

Image Search Results


The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results of Canonical Correlation Analysis (CCA) showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).

Journal: Frontiers in Pharmacology

Article Title: β-Asarone Inhibits Amyloid-β by Promoting Autophagy in a Cell Model of Alzheimer's Disease

doi: 10.3389/fphar.2019.01529

Figure Lengend Snippet: The relationships of AD and autophagy factors. (A) Representative Western blotting bands using total protein extracts from the cells. Compared with model group, β-asarone and A3 both decreased the expression of PS1. β-asarone can promote the occurrence of autophagy and reduce PS1. (Compare with normal group , # p < 0.05; compare with model group, *p < 0.05; one-away ANOVA, n=6). (B) The results of Canonical Correlation Analysis (CCA) showed a highly significant relationship between the pathology factor of AD and protein expression of autophagy. (C) P < 0.05 was not shown; basically P62 was negatively correlated with BECN (r = −0.68, P = 0.149) and LC3 (r = −0.119, P = 0.06); BECN and LC3 were positively related (r 2 = 0.547, P = 0.006). PS1 was negatively correlated with BECN1 (r 2 = −0.556, P = 0.005) and LC3 (r 2 = −0.430, P = 0.040). Furthermore, PS1 was also negatively correlated with SYN1 (r 2 = −0.424, P = 0.041) (Pearson correlation coefficient, n = 28).

Article Snippet: Since two sets of variables existed and the outcome set included more than one variable, the Canonical Correlation Analysis (CCA) method was performed (RStudio).

Techniques: Western Blot, Expressing

a) the significant canonical correlation mode identified by sparse canonical correlation analysis (sCCA) between the VPT cortical signature and clinical risk factors. b) clinical loadings on the significant correlation mode. GA: gestational age; BW: birth weight; VENT: duration of mechanical ventilation; CPAP: duration of continuous positive airway pressure; TPN: duration of total parenteral nutrition. c) cortical loadings on the significant correlation mode. d) associations between the brain score and neurodevelopmental outcomes at 20 months.

Journal: bioRxiv

Article Title: A cortical signature of very preterm birth across development and its association with neurodevelopmental outcomes

doi: 10.1101/2025.10.17.683086

Figure Lengend Snippet: a) the significant canonical correlation mode identified by sparse canonical correlation analysis (sCCA) between the VPT cortical signature and clinical risk factors. b) clinical loadings on the significant correlation mode. GA: gestational age; BW: birth weight; VENT: duration of mechanical ventilation; CPAP: duration of continuous positive airway pressure; TPN: duration of total parenteral nutrition. c) cortical loadings on the significant correlation mode. d) associations between the brain score and neurodevelopmental outcomes at 20 months.

Article Snippet: Third, in a fourth infant cohort of 414 VPT neonates who were recruited into the Evaluation of Preterm Imaging Study (ePrime), we examined the relationships between cortical alterations and neonatal clinical factors using sparse canonical correlation analysis (sCCA), which is a multivariate method for identifying maximal relationships between two sets of data, particularly in high-dimensional neuroimaging data, using regularization to achieve sparsity [ – ].

Techniques: