Results 121 to 130 of about 102,518 (248)
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Personality Prediction with Hybrid Genetic Programming using Portable EEG Device. [PDF]
Bhardwaj H +6 more
europepmc +1 more source
Motion planning based on hierarchical knowledge using genetic programming
Kentarou Kurashige +3 more
openalex +2 more sources
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Genetic Programming by Nitric Oxide-Sensing Gene Switch System in Tumor-Targeting Bacteria. [PDF]
Qin Y +5 more
europepmc +1 more source
Survivin and Aurora Kinase A control cell fate decisions during mitosis
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir +2 more
wiley +1 more source
Learning dispatching rules via novel genetic programming with feature selection in energy-aware dynamic job-shop scheduling. [PDF]
Sitahong A +5 more
europepmc +1 more source
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source
Development of Symbolic Expressions Ensemble for Breast Cancer Type Classification Using Genetic Programming Symbolic Classifier and Decision Tree Classifier. [PDF]
Anđelić N, Baressi Šegota S.
europepmc +1 more source

