Results 151 to 160 of about 4,366,415 (378)
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
Ontology for Software Metrics and Indicators: Building Process and Decisions Taken [PDF]
Luis Olsina, M.A. Martı́n
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
A metrics suite for measuring reusability of software components [PDF]
Hironori Washizaki+2 more
openalex +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
Towards a suite of software configuration management metrics [PDF]
Lars Bendix, Lorenzo Borracci
openalex +1 more source
Many researchers have criticized the field of Software Complexity metrics for the lack of testing, verification, and reproducibility of many metrics and case studies that utilized those metrics. This document describes SMF, a tool that can help address some of these concerns, namely by enabling verification of metrics, reproducibility of experiments ...
openaire +2 more sources
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
Calculation and use of an environment's characteristic software metric set [PDF]
Since both cost/quality and production environments differ, this study presents an approach for customizing a characteristic set of software metrics to an environment.
Basili, Victor R.+1 more
core +1 more source