Obesity is a global health problem that requires research and regulatory attention. This research aims to investigate transcriptome‐wide changes induced by Vigna umbellata (Tsuruazuki) using a stem cell‐based tool and preadipocytes to explore its untapped potential as a functional food for anti‐obesity applications.
Elda Nurafnie Ibnu Rasid+6 more
wiley +1 more source
A Hypergraph powered approach to Phenotype-driven Gene Prioritization and Rare Disease Prediction. [PDF]
Natarajan S+4 more
europepmc +1 more source
The impact of known breast cancer polygenes on critical illness insurance [PDF]
Adams, Craig+2 more
core +1 more source
Commodity Option Return Predictability
ABSTRACT This paper investigates the predictability of delta‐hedged commodity option returns using 103 predictors. We estimate several linear and nonlinear machine learning models and forecast ensembles using futures options data on seven commodities.
Constant Aka+2 more
wiley +1 more source
Genomic prediction with kinship-based multiple kernel learning produces hypothesis on the underlying inheritance mechanisms of phenotypic traits. [PDF]
Raimondi D+5 more
europepmc +1 more source
Exploring the Macroevolutionary Signature of Asymmetric Inheritance at Speciation. [PDF]
Gaboriau T+3 more
europepmc +1 more source
Use of DNA markers (AFLP) for genetically improving the productivity, palatability, sporability and dry matter content of tubers of greater yam. Final report [PDF]
Abraham, K., Arnau, Gemma
core
What's New? Multiple genetic polymorphisms characteristic of type 2 diabetes (T2D) have been associated with unfavorable prognostic outcomes in individuals with both T2D and metastatic colorectal cancer. This study evaluated the impact of T2D genetic polymorphisms on metastatic colon cancer prognosis in a cohort of non‐diabetic patients.
Raffaella Ruggiero+11 more
wiley +1 more source
Recombination and structural variation in a large 8-founder wheat MAGIC population. [PDF]
Shah R+7 more
europepmc +1 more source
A Learning Model with Memory in the Financial Markets
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh+6 more
wiley +1 more source