Results 251 to 260 of about 1,263,541 (299)

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

A Study on Development of Media Content Analysis and Quantitative Content Analysis

A Study on Development of Media Content Analysis and Quantitative Content Analysis
openaire  

Quantitative Content Analysis

, 2023
Abstract Quantitative content analysis methods are some of the most important tools in the political communication scholar’s evolving methodological toolkit. And with the rise of digital content and computational methods, it is more important than ever that these methods are treated with the same theoretical and methodological rigor ...
Friedrichs, G. ; https://orcid.org/
openaire   +2 more sources

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Quantitative Content Analysis: Its Use in Technical Communication

IEEE Transactions on Professional Communication, 2010
Quantitative content analysis can enrich research in technical communication by identifying the frequency of thematic or rhetorical patterns and then exploring their relationship through inferential statistics. Over the last decade, the field has published few content analyses, and several of these applications have been qualitative, diluting the ...
Ryan K Boettger
exaly   +2 more sources

Content Analysis, Quantitative

, 2020
This entry examines quantitative content analysis, which is a method based on the systematic coding and quantification of content—be that written, visual, or oral content.
Huxley, Katy
openaire   +2 more sources

Mixing quantitative and qualitative content analysis: triangulation at work

Quality and Quantity, 2010
Triangulation, Qualitative content analysis, Quantitative content analysis, Path model, Reliability, Validity, Semiotics,
Anton Oleinik, Oleinik Anton
exaly   +2 more sources

A quantitative analysis of the dimensions and content of the vertebral triangle

Surgical and Radiologic Anatomy, 2021
The vertebral triangle (VT) located in the root of the neck most commonly contains the vertebral artery (VA), cervical sympathetic chain and certain roots of the brachial plexus. Although other structures have been reported, few studies have reported on the overall content of this space.
Shavana Govender, Lané Prigge, Natalie Keough, Albert-Neels van Schoor   +3 more
openaire   +3 more sources

Information content of quantitative analysis

Collection of Czechoslovak Chemical Communications, 1976
I(P> PO) = SP( x) ln [P(x)IPO(X)~] D* , 0) where p0(x) denotes the probability density of the distribution of the content of the determined component assumed prior to the analysis and p(x) probability density of the distribution of the analytical results, has been assumed to represent a generally valid measure enabling to derive expressions which are ...
openaire   +1 more source