Results 221 to 230 of about 2,089,944 (391)
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin+10 more
wiley +1 more source
Repeatability and Reproducibility of Radiomic Features: A Systematic Review
A. Traverso+3 more
semanticscholar +1 more source
Understanding and measuring mechanical signals in the tumor stroma
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz+3 more
wiley +1 more source
Editorial: Democratizing data: Environmental data access and its future
Kevin A. Butler+4 more
doaj +1 more source
A RAPID AND REPRODUCIBLE METHOD FOR OBTAINING YEAST PROTOPLASTS [PDF]
Jaime Schwencke+2 more
openalex +1 more source
Reproducible science and the UK Reproducibility Network
Kirstie's talk at the HDR UK Reproducible Machine Learning Workshop held at the Alan Turing Institute on 23 July 2019. Bio Kirstie Whitaker is a research fellow at the Alan Turing Institute (London, UK) and senior research associate in the Department of Psychiatry at the University of Cambridge.
openaire +2 more sources
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran+3 more
wiley +1 more source
Editorial: Methods and protocols in nanotoxicology
Harald F. Krug, Katja Nau
doaj +1 more source
The accuracy of reproducing target positions under various tensions [PDF]
George E. Stelmach
openalex +1 more source