Results 141 to 150 of about 11,449,331 (358)
Evaluating predictive quality models derived from software measures: Lessons learned [PDF]
Filippo Lanubile, Giuseppe Visaggio
openalex +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Software quality and the Capability Maturity Model [PDF]
James D. Herbsleb+4 more
openalex +1 more source
Cotargeting EGFR and STAT3 with Erlotinib and TTI‐101 impairs both 2D and 3D growth of ETV1‐overexpressing prostate cancer cells by disrupting a self‐sustaining ETV1–EGFR positive feedback loop that promotes EGFR and STAT3 expression and phosphorylation (activation).
Elsa Gomes Paiva+5 more
wiley +1 more source
Quality programming: Developing and testing software with statistical quality control
Barbara Kitchenham
openalex +1 more source
A systematic literature review of open source software quality assessment models. [PDF]
Adewumi A+4 more
europepmc +1 more source
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon+13 more
wiley +1 more source
Combining quality and software improvement [PDF]
Craig R. Hollenbach+3 more
openalex +1 more source
A survey of Canadian medical physicists: software quality assurance of in-house software. [PDF]
Salomons GJ, Kelly D.
europepmc +1 more source
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková+14 more
wiley +1 more source