Targeting p38α in cancer: challenges, opportunities, and emerging strategies
p38α normally regulates cellular stress responses and homeostasis and suppresses malignant transformation. In cancer, however, p38α is co‐opted to drive context‐dependent proliferation and dissemination. p38α also supports key functions in cells of the tumor microenvironment, including fibroblasts, myeloid cells, and T lymphocytes.
Angel R. Nebreda
wiley +1 more source
2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction. [PDF]
Akşehir ZD, Kılıç E.
europepmc +1 more source
Retracted: Cluster-Based Mutual Fund Classification and Price Prediction Using Machine Learning for Robo-Advisors. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
An improved artificial gorilla troops optimizer for BP neural network-based housing price prediction. [PDF]
Li Y.
europepmc +1 more source
Boundary optimization of inclined coal seam open-pit mine based on the ISSA-LSSVR coal price prediction method. [PDF]
Cao B +6 more
europepmc +1 more source
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
A novel hybrid interval prediction framework integrating multiobjective optimization and quantile deep learning for copper price prediction. [PDF]
Wang Y, Du P, Xu Y, Wang J.
europepmc +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Clustering-enhanced stock price prediction using deep learning. [PDF]
Li M, Zhu Y, Shen Y, Angelova M.
europepmc +1 more source

