Results 241 to 250 of about 703,161 (279)

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search. [PDF]

Sci Rep
Liu X, Tian H.
europepmc   +1 more source

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

Tucker Decomposition-Based Feature Selection and SSA-Optimized Multi-Kernel SVM for Transformer Fault Diagnosis. [PDF]

Sensors (Basel)
Wang L, Liu X.
europepmc   +1 more source

A Rapid Prediction Method for Underwater Vehicle Radiated Noise Based on Feature Selection and Parallel Residual Neural Network. [PDF]

Sensors (Basel)
Ji F, Li Z, Feng W, Shi M, Ji X.
europepmc   +1 more source

Using Genetic Algorithm Feature Selection to Optimize XGBoost Performance in Australian Credit

Dwika Ananda Agustina Pertiwi, Kamilah Ahmad, Shahrul Nizam Salahudin, Ahmed Mohamed Annegrat, Much Aziz Muslim   +4 more
openalex   +2 more sources

Deep learning based thyroid prediction with opposition learning based red panda optimization feature selection. [PDF]

Sci Rep
Priya KH, Valarmathi K.
europepmc   +1 more source

Diabetes Prediction Using Feature Selection Algorithms and Boosting-Based Machine Learning Classifiers. [PDF]

Diagnostics (Basel)
Rahman F, Hossain S, Tiang JJ, Nahid AA.
europepmc   +1 more source