Results 81 to 90 of about 1,264,517 (335)
Recently, graph clustering has been applied to hyperspectral image (HSI) clustering and proves to be effective on capturing the complex affinity among hyperspectral samples to a certain extent.
Yao Qin +4 more
doaj +1 more source
One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering. [PDF]
Liu J, Cheng Y, Wang X, Ge S.
europepmc +1 more source
Sequential adaptive strategy for population-based sampling of a rare and clustered disease [PDF]
Fulvia Mecatti +2 more
openalex +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery. [PDF]
Kong XZ +6 more
europepmc +1 more source
Methods of conceptual clustering and their relation to numerical taxonomy [PDF]
Artificial Intelligence (AI) methods for machine learning can be viewed as forms of exploratory data analysis, even though they differ markedly from the statistical methods generally connoted by the term.
Fisher, Douglas, Langley, Pat
core +1 more source
When Should You Adjust Standard Errors for Clustering?
In empirical work in economics it is common to report standard errors that account for clustering of units. Typically, the motivation given for the clustering adjustments is that unobserved components in outcomes for units within clusters are correlated.
Abadie, Alberto +3 more
core +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
The effect of clustering on the precision of estimation : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Marketing at Massey University [PDF]
The effect of clustering interval on design effect may be important in selection of alternative sampling designs by evaluating the cost-efficiency in the context of face-to-face interview surveys.
Guan, Zhengping
core

