Results 41 to 50 of about 1,244,223 (283)
CLUSTERING FUNCTIONAL DATA USING WAVELETS [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2013 We present two strategies for detecting patterns and clusters in high-dimensional time-dependent functional data. The use on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant local time and scale features.
Antoniadis, Anestis +3 more
openaire +6 more sources
Multiple Comparisons using Composite Likelihood in Clustered Data [PDF]
, 2015 We study the problem of multiple hypothesis testing for multidimensional data when inter-correlations are present. The problem of multiple comparisons is common in many applications.
Azadbakhsh, Mahdis +2 more
core
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
, 2005 Cache memories are commonly implemented through multiple memory banks to improve bandwidth and latency. The early knowledge of the data cache bank that an instruction will access can help to improve the performance in several ways.
Bieschewski, Stefan +2 more
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
CMOS: Efficient Clustered Data Monitoring in Sensor Networks
The Scientific World Journal, 2013 Tiny and smart sensors enable applications that access a network of hundreds or thousands of sensors. Thus, recently, many researchers have paid attention to wireless sensor networks (WSNs).
Jun-Ki Min
doaj +1 more source
Modeling Clustered Data with Very Few Clusters [PDF]
Multivariate Behavioral Research, 2016 Small-sample inference with clustered data has received increased attention recently in the methodological literature, with several simulation studies being presented on the small-sample behavior of many methods. However, nearly all previous studies focus on a single class of methods (e.g., only multilevel models, only corrections to sandwich ...
Daniel, McNeish, Laura M, Stapleton
openaire +2 more sources
GEE analysis of clustered binary data with diverging number of covariates
, 2011 Clustered binary data with a large number of covariates have become increasingly common in many scientific disciplines. This paper develops an asymptotic theory for generalized estimating equations (GEE) analysis of clustered binary data when the number ...
Wang, Lan
core +1 more source
Boxplots for grouped and clustered data in toxicology [PDF]
, 2015 The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals ...
Hothorn, Ludwig A., Pallmann, Philip
core +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source