Results 91 to 100 of about 829,080 (295)

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

open access: yesMolecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides   +13 more
wiley   +1 more source

Reverse Engineering in Data Integration Software [PDF]

open access: yesDatabase Systems Journal, 2013
Integrated applications are complex solutions that help build better consolidated and standardized systems from existing (usually transactional) systems.
Vlad DIACONITA
doaj  

e-CF Competences in Software Engineering Course

open access: yesApplied Computer Systems, 2019
The article describes the definition of competences formed during the acquisition of the study course “Software Engineering” at Riga Technical University. The European e-Competence Framework (e-CF) is adopted for this purpose.
Zaitseva Larisa
doaj   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

open access: yesMolecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova   +26 more
wiley   +1 more source

Software engineering education [PDF]

open access: bronze, 1984
Michael Petricig, Peter Freeman
openalex   +1 more source

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