Results 201 to 210 of about 703,161 (279)

Inertial Sensor-Based Recognition of Field Hockey Activities Using a Hybrid Feature Selection Framework. [PDF]

Sensors (Basel)
Shahar N, As'ari MA, Mohd Ghazali MH, Zainal N, Zulkifley MA, Ibrahim AA, Omar Z, Rahmat MS, Gan KB, Mohamed Moubark A.   +9 more
europepmc   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Explainable artificial intelligence approaches for predicting depression by combining feature selection methods and machine learning classifiers. [PDF]

Digit Health
Kim MG, Lee KC, Lee K, Kim HU, Seo YW, Chae SW.   +5 more
europepmc   +1 more source

Impact of Feature Selection Techniques on the Performance of Machine Learning Models for Depression Detection Using EEG Data [PDF]

Marwa Hassan, Naima Kaabouch
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

A novel statistical feature selection framework for biomarker discovery and cancer classification via multiomics integration. [PDF]

BMC Med Res Methodol
Ghaleb MS, Al-Berry MN, Ebied HM, Tolba MF.   +3 more
europepmc   +1 more source

Parallel genetic algorithm of feature selection for complex system analysis

, 2018
Vladimir Mokshin, И Р Сайфудинов, Leonid Sharnin, M. V. Trusfus, П И Тутубалин   +4 more
openalex   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophrenia. [PDF]

Netw Neurosci
Xing Y, Pearlson GD, Kochunov P, Calhoun VD, Du Y.   +4 more
europepmc   +1 more source