Results 91 to 100 of about 797,470 (304)

Improved robustness in time series analysis of gene expression data by polynomial model based clustering [PDF]

open access: yes, 2006
Microarray experiments produce large data sets that often contain noise and considerable missing data. Typical clustering methods such as hierarchical clustering or partitional algorithms can often be adversely affected by such data.
Liu, X   +20 more
core   +1 more source

Clustering Scientific Document Based on an Extended Citation Model

open access: yesIEEE Access, 2019
With the number of published scientific paper increasing exponentially, scientific document clustering is becoming a challenging task. Therefore, a scientific document clustering model with high quality is needed.
Shuai Zhang, Yangbing Xu, Wenyu Zhang
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Coping With New Challengens for Density-Based Clustering [PDF]

open access: yes, 2004
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data.
Kröger, Peer
core  

Phosphoinositides and inositol phosphates as molecular glues

open access: yesFEBS Letters, EarlyView.
Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry   +9 more
wiley   +1 more source

PARK(ing) time–How park deficiency affects the biological clock in a Drosophila model of Parkinson's disease

open access: yesFEBS Letters, EarlyView.
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara   +3 more
wiley   +1 more source

Supervised sampling for clustering large data sets [PDF]

open access: yes, 2010
The problem of clustering large data sets has attracted a lot of current research. The approaches taken are mainly based either on the more efficient implementation or modification of existing methods or/and on the construction of clusters from a ...
Kosmidis, Ioannis, Karlis, Dimitris
core  

User behaviour-driven group formation through case-based reasoning and clustering [PDF]

open access: yes, 2012
Group formation for collaborative learning activities is a complex and time consuming task. Different criteria have been proposed for grouping learners in computer-based systems, such as performance and social characteristics. User behaviour is, however,
Cocea, Mihaela   +2 more
core   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Clustering analysis of railway driving missions with niching [PDF]

open access: yes, 2012
A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine   +2 more
core   +1 more source

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