Background: DNA microarray assays typically compare two biological samples and present the results of those comparisons gene-by-gene as the logarithm base two of the ratio of the measured expression levels for the two samples.

Results: Because of the fixed dynamic range of fluorescence and other detection systems, there is a limit to the range of comparisons that can be made using any array technology, and this must be taken into account when interpreting the results of any such analysis.

Conclusions: The dynamic range of microarray data collection systems results in limits in the comparative analyses that can be derived from such measurements and suggests that optimal results can be obtained by making measurements that avoid the boundaries of that dynamic range.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC400743PMC
http://dx.doi.org/10.1186/1472-6750-4-3DOI Listing

Publication Analysis

Top Keywords

dynamic range
12
limits log-ratios
4
log-ratios background
4
background dna
4
dna microarray
4
microarray assays
4
assays typically
4
typically compare
4
compare biological
4
biological samples
4

Similar Publications

Context: Nontraumatic shoulder pain (NSP) is common in volleyball, affecting performance and well-being. It is more prevalent in female players. Previous studies lack comprehensive assessments of shoulder pain that consider multiple factors, including range of motion, muscle strength, joint position sense, dynamic stability, and volleyball-specific mechanics.

View Article and Find Full Text PDF

A network pharmacology approach was used to construct comprehensive pharmacological networks, elucidating the interactions between agarwood compounds and key biological targets associated with cancer pathways. We have employed a combination of network pharmacology, molecular docking and molecular dynamics to unravel agarwood plants' active components and potential mechanisms. Reported 23 molecules were collected from the agarwood plants and considered to identify molecular targets.

View Article and Find Full Text PDF

Purpose: This study investigates the impact of various mixing parameters and surfactant combinations on the physical characteristics of nanoemulsions produced using high-speed homogenization. Nanoemulsions are explored for their capacity to enhance transdermal drug delivery in pharmaceutical and cosmetic contexts.

Methods: Employing a standard high-speed homogenizer typical in the cosmetic industry, we tested different combinations of Polysorbate (Tween®) and Sorbitan ester (Span®) surfactants under single and intermittent process configurations.

View Article and Find Full Text PDF

Deep learning-based metabolomics data study of prostate cancer.

BMC Bioinformatics

December 2024

College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao, 028000, China.

As a heterogeneous disease, prostate cancer (PCa) exhibits diverse clinical and biological features, which pose significant challenges for early diagnosis and treatment. Metabolomics offers promising new approaches for early diagnosis, treatment, and prognosis of PCa. However, metabolomics data are characterized by high dimensionality, noise, variability, and small sample sizes, presenting substantial challenges for classification.

View Article and Find Full Text PDF

A Multilayer Network Model for Motor Competence from the View of the Science of Complexity.

Sports Med

December 2024

Research Centre in Physical Activity, Health and Leisure, and Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal.

Motor competence is related to a large number of correlates of different natures, forming together a system with flexible parts that are synergically and cooperatively connected to produce a wide range of motor outcomes that cannot be explained from a predetermined linear view or a unique mechanism. The diversity of interacting correlates, the various connections between them, and the fast changes between assessments at different time points are clear barriers to the study of motor competence. In this manuscript, we present a multilayer framework that accounts for the theoretical background and the potential mathematical procedures necessary to represent the non-linear, complex, and dynamic relationships between several underlying correlates that emerge as a motor competence network.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!