Results 181 to 190 of about 4,534,833 (370)

Towards an effective refactoring taxonomy for sustainable software systems. [PDF]

PLoS One
Almogahed A, Mahdin H, Badreddine S, Omar M, Alawadhi A, Barraood SO, Othman M, Shaharudin SM, Salwani Yaacob AS.   +8 more
europepmc   +1 more source

Methods for Calculation and Application of Software Code Metrics: A Systematic Mapping Study

Artem O. Korznikov, N. N. Datsun
openalex   +1 more source

Peer Review #2 of "On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based analysis (v0.1)"

, 2019
Justus Bogner, Stefan Wagner, Alfred Zimmermann, M Ali, M Elish, J Bogner, S Wagner, A Zimmermann, J Bogner, A Zimmermann, S Wagner, R Daigneau, T Erl, B Carlyle, C Pautasso, R Balasubramanian, D Falessi, N Juristo, C Wohlin, B Turhan, J Mnch, A Jedlitschka, M Oivo, M Fowler, M Galster, P Avgeriou, J Garzs, F Garca, M Piattini, P Hegeds, D Bn, R Ferenc, T Gyimthy, M Hirzalla, J Cleland-Huang, A Arsanjani, M Host, B Regnell, C Wohlin, A Jedlitschka, M Ciolkowski, D Pfahl, M Kassab, G El-Boussaidi, H Mili, C Mateos, A Zunino, S Misra, D Anabalon, A Flores, T Mccabe, S Newman, J.-P Ostberg, S Wagner, F Palma, L An, F Khomh, N Moha, Y.-G Gueheneuc, M Papazoglou, C Pautasso, E Wilde, M Perepletchikov, C Ryan, K Frampton, Z Tari, M Riaz, T Breaux, L Williams, D Rowe, J Leaney, D Lowe, D Rud, A Schmietendorf, R Dumke, I Salman, A Misirli, N Juristo   +77 more
openalex   +2 more sources

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar. [PDF]

J Am Med Inform Assoc
van der Vegt AH, Campbell VK, Webb R, Venkatesh B, Lane PJ, Wilks K, McPhail S, Rice M, Isaacs T, Abdel-Hafez A, Whebell S, Irwin A, Schnetler RJ, Shetty A, Scott IA.   +14 more
europepmc   +1 more source

Peer Review #1 of "On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based analysis (v0.1)"

, 2019

openalex   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics [PDF]

Sharif Ahmed, Addi Malviya Thakur, Gregory R. Watson, Nasir U. Eisty   +3 more
openalex   +1 more source

When do Software Complexity Metrics Mean Nothing? – When Examined out of Context. [PDF]

, 2016
Joseph A. Gil, Gal Lalouche
openalex   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source