Results 111 to 120 of about 1,215,846 (318)
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Clustering and Community Detection With Imbalanced Clusters
IEEE Transactions on Signal and Information Processing over Networks, 2017 Spectral clustering methods which are frequently used in clustering and community detection applications are sensitive to the specific graph constructions particularly when imbalanced clusters are present. We show that ratio cut (RCut) or normalized cut (NCut) objectives are not tailored to imbalanced cluster sizes since they tend to emphasize cut ...
Cem Aksoylar +2 more
openaire +2 more sources
FEBS Letters, EarlyView.The mycobacterial CIII‐CIV respiratory supercomplex is an obligate assembly, encompassing several subunits of unknown functions. We have characterized the intracellular subunit AscF, and show that it is unlikely to be a sensor for metals or nucleotides, but is required for growth on nonfermentable energy sources, and likely works as an adapter for ...
Eni Rile +8 more
wiley +1 more source
Clustering in an Object-Oriented Environment [PDF]
This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way.
Mia Hubert, Peter Rousseeuw, Anja Struyf
core +1 more source
Consistent parameter clustering: definition and analysis. [PDF]
, 2007 Parameter clustering is a popular robust estimation technique based on location statistics in a parameter space where parameter samples are obtained from data samples.
Hillenbrand, Ulrich, Ulrich Hillenbrand
core
Multiorder neurons for evolutionary higher-order clustering and growth [PDF]
, 2007 This letter proposes to use multiorder neurons for clustering irregularly shaped data arrangements. Multiorder neurons are an evolutionary extension of the use of higher-order neurons in clustering.
GUAN, Sheng Uei +5 more
core +1 more source
FEBS Letters, EarlyView.Although too much iron in the brain promotes neurodegeneration, iron ion chelators have had mixed effects in clinical trials. This review explains why; some chelators do not render the iron redox‐inactive (e.g., L1) whereas others do (e.g., desferrioxamine).
Barry Halliwell
wiley +1 more source
Interactive text analytics for document clustering [PDF]
, 2018 Clustering has been widely used to efficiently get insight into text collections containing more documents than a human can effectively read. Although there exist several different document clustering algorithms, most of them do not consider user ...
Sherkat, Ehsan
core
Genetic algorithm based two-mode clustering of metabolomics data [PDF]
, 2008 Metabolomics and other omics tools are generally characterized by large data sets with many variables obtained under different environmental conditions.
Werf, M.J. van der +15 more
core +1 more source
Analysis of Application of Cluster Descriptions in Space of Characteristic Image Features
Data, 2018 In this paper, we propose an investigation of the properties of structural image recognition methods in the cluster space of characteristic features. Recognition, which is based on key point descriptors like SIFT (Scale-invariant Feature Transform), SURF
Oleksii Gorokhovatskyi +2 more
doaj +1 more source