linear locally weighted scatterplot smoother (lowess) method (SAS institute)
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linear locally weighted scatterplot smoother (lowess) method
Linear Locally Weighted Scatterplot Smoother (Lowess) Method, 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
https://www.bioz.com/product/lowess+method/linear+locally+weighted+scatterplot+smoother++lowess++method/pmc05324675-96-32-40
Average 90 stars, based on 1 article reviews
Linear Locally Weighted Scatterplot Smoother (Lowess) Method, 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
https://www.bioz.com/product/lowess+method/linear+locally+weighted+scatterplot+smoother++lowess++method/pmc05324675-96-32-40
Average 90 stars, based on 1 article reviews
linear locally weighted scatterplot smoother (lowess) method - by Bioz Stars,
2026-10
90/100 stars
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1) Product Images from "Segmented linear modeling of CHO fed‐batch culture and its application to large scale production"
Article Title: Segmented linear modeling of CHO fed‐batch culture and its application to large scale production
Journal: Biotechnology and Bioengineering
doi: 10.1002/bit.26214
Figure Legend Snippet: Developed methodology to identify and characterize metabolic phases. Experimental data are first cleaned using the methodology presented in Figure 2 and additionally by removing data with a viability below 50% or a depletion of metabolites during a measurement interval. The number of metabolic phases during the cell culture process are determined by differentiating the smoothed (LOWESS) reaction rates of all metabolites with respect to the growth rate (dR/dµ). Recursive partitioning is then applied on those derivatives to get a vector of possible metabolic phase breakpoints. Hierarchical clustering is then applied on this vector of possible breakpoints to define the number of final metabolic phases (clusters). Knowing the number of metabolic phases, the segmented regression can then be calibrated on the calibration dataset for each metabolite and validated on the cross validation dataset of the 2 L bioreactor and also of the 2000 L bioreactor.
Techniques Used: Cell Culture, Plasmid Preparation, Biomarker Discovery
Related Articles
Cell Culture:Article Title: Segmented linear modeling of CHO fed‐batch culture and its application to large scale production Article Snippet: We can estimate coefficients A for all metabolites for the whole cell culture process by taking the derivative of metabolic rates with respect to the specific growth rate, μ: (7) d R d μ = A Vector A is assumed constant within each metabolic phase. Plasmid Preparation:Article Title: Segmented linear modeling of CHO fed‐batch culture and its application to large scale production Article Snippet: We can estimate coefficients A for all metabolites for the whole cell culture process by taking the derivative of metabolic rates with respect to the specific growth rate, μ: (7) d R d μ = A Vector A is assumed constant within each metabolic phase. Biomarker Discovery:Article Title: Segmented linear modeling of CHO fed‐batch culture and its application to large scale production Article Snippet: We can estimate coefficients A for all metabolites for the whole cell culture process by taking the derivative of metabolic rates with respect to the specific growth rate, μ: (7) d R d μ = A Vector A is assumed constant within each metabolic phase. |