Results 201 to 210 of about 2,006,480 (313)

Phenotypic Classification of Scalp High-Frequency Oscillations in Absence Epilepsy Based on Multiple Characteristics Using K-Means Clustering. [PDF]

Bioengineering (Basel)
Maeda K, Tsuboi H, Hosoda N, Fukumoto J, Fujita S, Yamaguchi S, Ichino N, Osakabe K, Sugimoto K, Furukawa G, Ishihara N.   +10 more
europepmc   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark. [PDF]

Health Inf Sci Syst
Anthonimuthu DJ, Holm NN, Stockmarr A, Zwisler AD, Udsen FW.   +4 more
europepmc   +1 more source

Improved point center algorithm for K-Means clustering to increase software defect prediction

, 2020
Riski Annisa, Didi Rosiyadi, Dwiza Riana
openalex   +2 more sources

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Application of PSO-integrated K-means algorithm in resident digital portrait classification. [PDF]

PLoS One
Yue H, Zhang H, Dai Y.
europepmc   +1 more source

Penerapan K-Means Clustering Dalam Pengelompokan Prestasi Siswa Dengan Optimasi Metode Elbow

Muhammad Qusyairi, Zul Hidayatullah, Arnila Sandi   +2 more
openalex   +2 more sources

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

Automatic modulation classification method using fixed K-means algorithm for feature clustering processing. [PDF]

PLoS One
Yuan L, Chen Y.
europepmc   +1 more source

Optimization and Application of XGBoost Logging Prediction Model for Porosity and Permeability Based on K-means Method [PDF]

Jianting Zhang, Ruifei Wang, Ailin Jia, Naichao Feng   +3 more
openalex   +1 more source