Results 71 to 80 of about 1,351,383 (295)
Fuzzy clustering of time series gene expression data with cubic-spline
Data clustering techniques have been applied to ex- tract information from gene expression data for two decades. A large volume of novel clustering algorithms have been developed and achieved great success.
Ali, Akhtar, Wang, Yu, Angelova, Maia
core +1 more source
ABSTRACT Ancient Olympia was one of the most important sanctuaries and the venue for the Olympic Games in Greek and Roman times. Its remains are located in the Olympia Terrace (Peloponnese, Greece) at the present‐day confluence of the rivers Alpheios and Kladeos at the base of Mount Kronos.
Sarah Bäumler +10 more
wiley +1 more source
On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models
ABSTRACT The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed‐batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during
Nikolaos Stratis +2 more
wiley +1 more source
ABSTRACT The agitation power input substantially impacts the oxygen transfer rate in aerobic fermentation processes. Furthermore, in a carbon‐limited process where the substrate feed rate is controlled by the concentration of dissolved oxygen, the power input will consequently govern the feed rate.
Mariana Albino +6 more
wiley +1 more source
Estimation of a regression spline sample selection model [PDF]
It is often the case that an outcome of interest is observed for a restricted non-randomly selected sample of the population. In such a situation, standard statistical analysis yields biased results.
Marra, Giampiero +5 more
core +1 more source
Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro +3 more
wiley +1 more source
Direct Determination of Smoothing Parameter for Penalized Spline Regression
Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
doaj +1 more source
Spline Semiparametric Regression Models
In this paper, we study semiparametric regression models with spline smoothing, and determining the numbers of knots and their locations by using some statistical criteria, a simulation model has been performed.
Ameera Jaber Mohaisen +1 more
doaj +1 more source
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios +13 more
wiley +1 more source
Performance of robust GCV and modified GCV for spline smoothing
While it is a popular selection criterion for spline smoothing, generalized cross-validation (GCV) occasionally yields severely undersmoothed estimates.
Anderssen, R.S. +2 more
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