indigenous knowledge researchdialectic viewsdualistic viewsThis article presents a reflection on an aspect of research methodology, particularly on the interpretation strategy of data from a Science and Indigenous Knowledge Systems Project (SIKSP) in a South African university. The data interpretation ...
Hypothesis testing in students: Sequences, stages, and instructional strategies Six sequences in the development of hypothesis-testing conceptions are proposed, involving (a) interpretation of the hypothesis; (b) the distinction betwee... D Moshman,PA Thompson - 《Journal of Research in Science Te...
Systematic analysis and interpretation of collected data for a research study: A practical methodological framework for writing research report Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant ba... AP...
Authors must disclose any funding sources who provided financial support for the conduct of the research and/or preparation of the article. The role of sponsors, if any, should be declared in relation to the study design, collection, analysis and interpretation of data, writing of the report...
Remarkable advances in single cell genomics have presented unique challenges and opportunities for interrogating a wealth of biomedical inquiries. High dimensional genomic data are inherently complex because of intertwined relationships among the genes.
We introduce UniCell: Deconvolve Base (UCDBase), a pre-trained, interpretable, deep learning model to deconvolve cell type fractions and predict cell identity across Spatial, bulk-RNA-Seq, and scRNA-Seq datasets without contextualized reference data. UCD
In the United States (US), the Surveillance, Epidemiology, and End Results (SEER) program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data. This program aims
Estimating “complex and complete” models may provide new insights and ideas to the current research model, but not necessarily without the costs of large complex models, difficulties in interpretation, and computational complexity, to name a few. 2.2.4. Model prediction power Data mining ...
We have shown how the continuous and interpretable dimensional space of the Bioteque embeddings provides a powerful framework for characterizing individual observations, which can, in turn, be exploited to guide the interpretation of the entire dataset and, to some extent, assess the novelty of the ...
Getting access to administrative health data for research purposes is a difficult and time-consuming process due to increasingly demanding privacy regulations. An alternative method for sharing administrative health data would be to share synthetic datas