Related Experiment Video
Updated: Jun 6, 2025
11:02
Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
463
Fair Data, Bayesian Statistics and Human Cohort Studies: Current Trends in Metabolomic Research
1West Coast Metabolomics Center, University of California, 451 Health Sciences Drive, Davis, CA 95616, USA.
Metabolites
|November 26, 2024
Summary
This special issue highlights over a decade of advancements in metabolomics research and services. It showcases the impact of the UC Davis West Coast Metabolomics Center (WCMC) on the field.
Area of Science:
- Metabolomics and systems biology research.
- Biochemical analysis and data interpretation.
Background:
- Celebrating 10+ years of research and services at the UC Davis West Coast Metabolomics Center (WCMC).
- Showcasing contributions to the field of metabolomics.
Discussion:
- Highlighting key research findings and technological developments.
- Discussing the role of metabolomics in various scientific disciplines.
Key Insights:
- The WCMC has significantly advanced metabolomics research and services.
- Metabolomics plays a crucial role in understanding biological systems.
Outlook:
- Future directions and potential impact of metabolomics research.
- Continued growth and innovation at the WCMC.
Related Concept Videos
02:02Genomics
35.9K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.9K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
121
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
121
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
28
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
28
01:16Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
114
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
114
01:19Data: Types and Distribution
690
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
Distributions in...
690