Results 81 to 90 of about 2,690,463 (245)

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, R. A. van den Berg, Westerhuis, J.A., van der Werf, M.J., Hageman, J.A., Smilde, A.K.; id_orcid, van den Berg, R.A., Westerhuis, J.A.; id_orcid, Werf, M.J., van der, Berg, R.A. van den, Berg, R.A., van den, J. A. Hageman, A. K. Smilde, Smilde, A.K., M. J. van der Werf, J. A. Westerhuis   +15 more
core   +3 more sources

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Clustering analysis of railway driving missions with niching [PDF]

, 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, Sareni, Bruno, Roboam, Xavier   +2 more
core   +1 more source

A physical model inspired density peak clustering.

PLoS ONE, 2020
Clustering is an important technology of data mining, which plays a vital role in bioscience, social network and network analysis. As a clustering algorithm based on density and distance, density peak clustering is extensively used to solve practical ...
Hui Zhuang, Jiancong Cui, Taoran Liu, Hong Wang   +3 more
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series [PDF]

A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses are represented as sequences on a monthly timescale for the working-life with an age span from 16-65.
Dlugosz, Stephan
core  

Non-convex polygons clustering algorithm

ITM Web of Conferences, 2016
A clustering algorithm is proposed, to be used as a preliminary step in motion planning. It is tightly coupled to the applied problem statement, i.e. uses parameters meaningful only with respect to it.
Kruglikov Alexey, Vasilenko Mikhail
doaj   +1 more source

Laplacian Centrality Peaks Clustering Based on Potential Entropy

IEEE Access, 2018
The clustering analysis is an important unsupervised learning algorithm in data mining, which has a wide range of applications in the field of pattern recognition, image processing, and so on. The existing clustering algorithms generally need one or more
Xu-Hua Yang, Lin-Bo Jin, Wei Ye, Jie Xiao, Duan Zhang, Xin-Li Xu   +5 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

An Adaptive Ellipse Distance Density Peak Fuzzy Clustering Algorithm Based on the Multi-target Traffic Radar

Sensors, 2020
In the multi-target traffic radar scene, the clustering accuracy between vehicles with close driving distance is relatively low. In response to this problem, this paper proposes a new clustering algorithm, namely an adaptive ellipse distance density peak
Lin Cao, Xinyi Zhang, Tao Wang, Kangning Du, Chong Fu   +4 more
doaj   +1 more source