Construction of an efficient electroporation transformation system promotes the application of Targetron in wild-type <i>Paenibacillus elgii</i> 219. [PDF]
Yang G+8 more
europepmc +1 more source
Continous Cooling Transformation Diagrams of Various Steels Submitted to Welding (Report 2)
H. Sekiguchi, M. Inagaki
openalex +2 more sources
This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci+6 more
wiley +1 more source
Digital transformation and the choice of management control modes in enterprise groups. [PDF]
Li J, Zhang X.
europepmc +1 more source
Landscape of BRAF transcript variants in human cancer
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda+5 more
wiley +1 more source
Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care.
Schiffelers T+5 more
europepmc +1 more source
Compositional transformations can reasonably introduce phenotype-associated values into sparse features. [PDF]
Austin GI, Korem T.
europepmc +1 more source
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte+10 more
wiley +1 more source
Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power. [PDF]
Alharthi YZ, Chiroma H, Gabralla LA.
europepmc +1 more source