Results 131 to 140 of about 14,548,304 (313)
NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999) [PDF]
In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables.
Diego Legros, Catherine Baumont
core +2 more sources
The impact of spatial aggregation on urban development analyses
, 2014 This paper illustrates the impacts of spatial data aggregation on the analysis of urban development. Spatial econometric methods are used to control for spatial autocorrelation in the data and existing weighting methods are used to overcome aggregation ...
KOOMEN Eric +6 more
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
An analysis of within-compound associations in spatial learning [PDF]
, 2013 The nature of spatial learning has been argued to be qualitatively different from that of associative learning. Compelling evidence for this argument is provided by experiments showing a lack of typical associative cue competition between spatial and non-
AUSTEN, JOSEPH,MICHAEL
core
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
HIERARCHICAL BAYESIAN MODELING FOR SPATIAL TIME SERIES: AN ALTERNATIVE APPROACH TO SPATIAL SUR [PDF]
Despite the fact that the amount of datasets containing long economic time series with a spatial reference has significantly increased during the years, the presence of integrated techniques that aim to describe the temporal evolution of the series while
Yiannis Kamarianakis
core
, 2015 Spatial variables considered in the development of resource selection function models for greater sage-grouse. The same variables were included in the pre-mitigation (2004 to 2007) and post-mitigation (2008 to 2011) habitat models. Range is presented for
Christopher P. Kirol (716649) +3 more
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Molecular Oncology, EarlyView.Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley +1 more source
Spatial analysis of categorical soil variables with the wavelet transform
, 2005 This paper describes a wavelet transform for the analysis of categorical (multistate) soil variables, i.e. ones (such as profile classes) that have two or more discrete states.
Lark, R. M.
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