関連する実験動画

Updated: Jul 12, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

科学的コンピュータモデルの結果のグラフィカル表示

T E Graedel, R McGill

    Science (New York, N.Y.)
    |March 5, 1982
    PubMed
    まとめ

    複雑なコンピュータモデルの結果を視覚化することは,理解に不可欠です. このレビューは,特に都市空気の質のモデリングにおいて,多次元データを提示するための,色素プロットを含むグラフィカルテクニックをカバーしています.

    さらに関連する動画

    Chemical Cartography Approaches to Study Trypanosomatid Infection08:21

    Chemical Cartography Approaches to Study Trypanosomatid Infection

    Published on: January 21, 2022

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)12:26

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

    Published on: October 11, 2016

    関連する概念動画

    Statgraphics01:10

    Statgraphics

    Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
    Molecular Models02:00

    Molecular Models

    Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
    Pharmacokinetic Models: Overview01:20

    Pharmacokinetic Models: Overview

    Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
    There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
    Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

    Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

    Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
    In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
    Statistical Analysis: Overview01:11

    Statistical Analysis: Overview

    When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
    One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
    Review and Preview01:13

    Review and Preview

    Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...