Results 81 to 90 of about 1,264,517 (335)

Evolving superpixel-level affinity based on contrastive learning and good neighbors for hyperspectral image clustering

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
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

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
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

Methods of conceptual clustering and their relation to numerical taxonomy [PDF]

open access: yes, 1985
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?

open access: yes, 2017
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

open access: yesMolecular Oncology, EarlyView.
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

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
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]

open access: yes, 1997
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  

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