Results 161 to 170 of about 938,196 (259)
Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China. [PDF]
Wang L, Liu X, Wang X, Jiang Y.
europepmc +1 more source
Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu +5 more
wiley +1 more source
A novel approach for the segmentation of retinal images by integration K-means clustering algorithm with graph cut for image segmentation. [PDF]
Bhoopalan R, Priyadharshini S.
europepmc +1 more source
Comparison between Standard K-Mean Clustering and Improved K-Mean Clustering
Ishpreet Singh, Pooja Pandey
openaire +1 more source
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava +3 more
wiley +1 more source
Assessing nursing students' palliative care training needs and profiles: a cross-sectional study using K-means clustering. [PDF]
Yang L +6 more
europepmc +1 more source
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
Hyperspectral imaging and K-means clustering for material structure classification and detection of unmanned aerial vehicles. [PDF]
Saber A, Mahmoud A, El-Sharkawy YH.
europepmc +1 more source
Selective inference for k-means clustering. [PDF]
Chen YT, Witten DM.
europepmc +1 more source
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi +6 more
wiley +1 more source

