pca function princomp Search Results


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Yokogawa Electric csu-w1
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Partek principal component analysis (pca) function
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Principal Component Analysis (Pca) Function, supplied by Partek, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute function proc princomp
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Function Proc Princomp, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GraphPad Software Inc principal component analysis (pca) function
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Principal Component Analysis (Pca) Function, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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RStudio function prcomp
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Function Prcomp, 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
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MathWorks Inc pca function princomp
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Pca Function Princomp, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc principal component analysis princomp function
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Principal Component Analysis Princomp Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc functional principal component analyses (pca)
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
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MathWorks Inc princomp function
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Princomp Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc princomp.m function matlab 7.4
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
Princomp.M Function Matlab 7.4, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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LI-COR Environmental li-6400/xt portable photosynthesis system
<t>Principal</t> <t>component</t> analysis <t>(PCA)</t> for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).
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Image Search Results


Principal component analysis (PCA) for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).

Journal: Breast Cancer : Basic and Clinical Research

Article Title: Breast Cancer Metastasis to the Axillary Lymph Nodes: Are Changes to the Lymph Node “Soil” Localized or Systemic?

doi: 10.1177/1178223417691246

Figure Lengend Snippet: Principal component analysis (PCA) for gene expression profiles in negative lymph nodes. Red spheres = negative lymph nodes from patients without metastasis (n = 56); blue spheres = negative lymph nodes from patients with metastatic deposits in other lymph nodes within the axilla (n = 34).

Article Snippet: To investigate whether the gene expression patterns could be effectively separated based on the lymph node status of each patient, we used the principal component analysis (PCA) function in Partek.

Techniques: Expressing