742 citations
- Wellcome TrustGB18 papers
- University of CambridgeGB11 papers
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- Centre National de la Recherche ScientifiqueFR10 papers
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7 papers · 1 filter
Task-related edge density (TED) - a new method for revealing large-scale network formation in fMRI data of the human brain
Gabriele Lohmann, Johannes Stelzer, Verena Zuber +4
The formation of transient networks in response to external stimuli or as a reflection of internal cognitive processes is a hallmark of human brain function. However, its identific…
Clustering genes of common evolutionary history
Kevin Gori, Tomasz Suchan, Nadir Alvarez +2
Phylogenetic inference can potentially result in a more accurate tree using data from multiple loci. However, if the loci are incongruent--due to events such as incomplete lineage…
Prediction of Metabolic Pathways Involvement in Prokaryotic UniProtKB Data by Association Rule Mining
Imane Boudellioua, Rabie Saidi, Maria Martin +2
The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Automatic functional annotation of protein…
Modelling-based experiment retrieval: A case study with gene expression clustering
Paul Blomstedt, Ritabrata Dutta, Sohan Seth +2
Motivation: Public and private repositories of experimental data are growing to sizes that require dedicated methods for finding relevant data. To improve on the state of the art o…
FM stars II: a Fourier view of pulsating binary stars -- determining binary orbital parameters photometrically for highly eccentric cases
Hiromoto Shibahashi, Donald W. Kurtz, Simon J. Murphy
Continuous and precise space-based photometry has made it possible to measure the orbital frequency modulation of pulsating stars in binary systems with extremely high precision ov…
CoMaLit-IV. Evolution and self-similarity of scaling relations with the galaxy cluster mass
Mauro Sereno, Stefano Ettori
The scaling of observable properties of galaxy clusters with mass evolves with time. Assessing the role of the evolution is crucial to study the formation and evolution of massive…