Results 161 to 170 of about 128,952 (231)
Descriptive Genomic Analysis of Ampullary Carcinoma Utilizing the AACR Project GENIE Dataset. [PDF]
Martin S +5 more
europepmc +1 more source
First-principles kinetic model for 2-Methyl-Tetrahydrofuran Pyrolysis and combustion [PDF]
Battin-Leclerc, F +6 more
core
ABSTRACT The connective tissue support of female pelvic viscera—endopelvic fascia—has been studied in fetal and immunohistochemical models to demonstrate its relationship with the autonomic nerves of the female pelvis. Due to a paucity of literature examining the gross anatomical relationships between endopelvic fascia and autonomic nerves in adult ...
Stephen Magliocchetti +5 more
wiley +1 more source
Molecular Drivers of Chromophobe Renal Cell Carcinoma Revealed Through Genomic Analysis Using AACR Project GENIE. [PDF]
Gobel A +9 more
europepmc +1 more source
ABSTRACT Background “Clean label” antifungal ingredients and fermentation protocols are a promising strategy to meet shelf‐life requirements in the bread industry. Objectives This study evaluated the mold‐free shelf‐life of bread formulations incorporating sourdough combined with antifungal ingredients or additives.
Maria Robles‐Hernandez +2 more
wiley +1 more source
Genomic Characteristics of Bladder Cancer: An AACR Project GENIE Study. [PDF]
Braun JP +4 more
europepmc +1 more source
ABSTRACT Background and Objectives Wild rice (WR), a nutritious cereal rich in phytochemicals, remains underutilized despite its health benefits. This study explored deep purple (DP), purple sun hybrid (PSH), purple haze (PH), cosmic purple (CP), and vistaric sky blue (VSB) carrot powders as fortificants in WR noodles at 10%, 20%, and 30% levels in ...
Beverly Cheruto Too +3 more
wiley +1 more source
Somatic Mutational Landscape in Follicular Thyroid Cancer: Insights from AACR GENIE Data. [PDF]
Hsia B +10 more
europepmc +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Molecular Characterization of Seminoma Utilizing the AACR Project GENIE: A Retrospective Observational Study. [PDF]
Geereddy SR +9 more
europepmc +1 more source

