Various methods to determine the connectivity scores between groups of proteins associated with lung adenocarcinoma are examined. Proteins act together to perform a wide range of functions within biological processes. Hence, identification of key proteins and their interactions within protein networks can provide invaluable information on disease mechanisms. Differential network analysis provides a means of identifying differences in the interactions among proteins between two networks. We use connectivity scores based on the method of partial least squares to quantify the strength of the interactions between each pair of proteins. These scores are then used to perform permutation-based statistical tests. This examines if there are significant differences between the network connectivity scores for individual proteins or classes of proteins. The expression data from a study on lung adenocarcinoma is used in this study. Connectivity scores are computed for a group of 109 subjects who were in the complete remission and as well as for a group of 51 subjects whose cancer had progressed. The distributions of the connectivity scores are similar for the two networks yet subtle but statistically significant differences have been identified and their impact discussed.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4248347 | PMC |
| http://dx.doi.org/10.6026/97320630010647 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Early life stress and functional connectivity in antipsychotic-naïve first episode psychosis patients.
Schizophrenia (Heidelb)
January 2025
Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Article Synopsis
- The study investigates how childhood trauma affects brain connectivity in patients experiencing their first episode of psychosis compared to healthy controls.
- Higher scores of sexual abuse and emotional neglect from childhood trauma were linked to increased functional connectivity between specific brain regions (like the amygdala and prefrontal cortex) in these patients.
- The findings suggest that different types of childhood trauma have distinct long-term effects on brain function, highlighting the complex relationship between trauma and psychosis.
Are gender traits and stereotypes associated with stress and burnout among midlife women?
J Women Aging
January 2025
Department of Public Health, University of Rhode Island, Kingston Rhode Island, USA.
Women experience greater stress and burnout compared to men, particularly at midlife, when gender role expectations may contribute to experiencing stress and burnout. To date, researchers have not empirically examined the associations between gender traits and stereotypes, stress, and burnout among midlife women. Gendered traits and stereotypes were assessed via self-reported questionnaires, along with perceived stress and burnout.
View Article and Find Full Text PDFChronic stress resulting from stressful life events and its role in the onset of primary Sjögren's syndrome: a comparative analysis using the modified Holmes-Rahe stress scale.
Stress
December 2025
Department of Rheumatology, Clinical Immunology, Geriatrics and Internal Medicine, Medical University of Gdańsk, Gdańsk, Poland.
Recent years brought considerable attention to the connection between chronic stress and the development of autoimmune diseases. However, little is still known about the impact of prolonged stress reactions on the onset and course of primary Sjögren Syndrome (pSS). This study aimed to seek for associations between chronic stress, resulting from stressful life events, and pSS.
View Article and Find Full Text PDFMulti-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation.
Sensors (Basel)
January 2025
State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing 401133, China.
With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles. Traditional FL schemes often struggle with the complexities introduced by multi-modal data and diverse task requirements, such as increased communication overhead and computational burdens. In this paper, we propose a novel privacy-preserving scheme for multi-task federated split learning across multi-modal data (MTFSLaMM).
View Article and Find Full Text PDFFFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things.
Sensors (Basel)
December 2024
Stony Brook Institute at Anhui University, Hefei 230000, China.
The Internet of Things (IoT) contains many devices that can compute and communicate, creating large networks. Industrial Internet of Things (IIoT) represents a developed application of IoT, connecting with embedded technologies in production in industrial operational settings to offer sophisticated automation and real-time decisions. Still, IIoT compels significant cybersecurity threats beyond jamming and spoofing, which could ruin the critical infrastructure.
View Article and Find Full Text PDFWant 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!