Using traceless genetic programming for solving multi-objective optimization problems [PDF]
Mihai Oltean, Crina Groşan
openalex +1 more source
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Automated code development based on genetic programming in graphical programming language: A pilot study. [PDF]
Kodytek P, Bodzas A, Zidek J.
europepmc +1 more source
Computational Complexity Results for Genetic Programming and the Sorting Problem [PDF]
Markus Wagner, Frank Neumann
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Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
Linear matrix genetic programming as a tool for data-driven black-box control-oriented modeling in conditions of limited access to training data. [PDF]
Praczyk T, Szymkowiak M.
europepmc +1 more source
A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle. [PDF]
Romero J +6 more
europepmc +1 more source
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Learning feature spaces for regression with genetic programming. [PDF]
La Cava W, Moore JH.
europepmc +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source

