Results 11 to 20 of about 27,265,132 (376)
Quality and Quantity, 2005 The issue of suitable similarity measures for a particular kind of genetic data - so called SNP data - arises, e.g., from the GENICA (The Interdisciplinary Study Group on Gene Environmental Interactions and Breast Cancer in Germany) case-control study of
Ickstadt, Katja +2 more
core +3 more sources
Detection and analysis of cluster–cluster filaments [PDF]
Monthly Notices of the Royal Astronomical Society, 2020 ABSTRACTIn this work, we identify and analyse the properties of cluster–cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter haloes with masses $M \, \ge 10^{14}\, h^{-1} \, \mathrm{M_{\odot }}$.
Luis A Pereyra +4 more
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Survival cluster analysis [PDF]
Proceedings of the ACM Conference on Health, Inference, and Learning, 2020 Conventional survival analysis approaches estimate risk scores or individualized time-to-event distributions conditioned on covariates. In practice, there is often great population-level phenotypic heterogeneity, resulting from (unknown) subpopulations with diverse risk profiles or survival distributions. As a result, there is an unmet need in survival
Chapfuwa, Paidamoyo +4 more
openaire +2 more sources
To cluster, or not to cluster: An analysis of clusterability methods [PDF]
Pattern Recognition, 2019 Clustering is an essential data mining tool that aims to discover inherent cluster structure in data. For most applications, applying clustering is only appropriate when cluster structure is present. As such, the study of clusterability, which evaluates whether data possesses such structure, is an integral part of cluster analysis. However, methods for
Andreas Adolfsson +2 more
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Frontiers in Cell and Developmental Biology, 2022 “Trim-Away” technology enables rapid degradation of endogenous proteins without prior modification of protein-coding genes or mRNAs through delivery of antibodies that target proteins of interest.
Rina Kunishige +6 more
doaj +1 more source
Cluster Correspondence Analysis [PDF]
Psychometrika, 2017 A method is proposed that combines dimension reduction and cluster analysis for categorical data by simultaneously assigning individuals to clusters and optimal scaling values to categories in such a way that a single between variance maximization objective is achieved.
van de Velden, M. +2 more
openaire +5 more sources
Heliyon, 2020 Increasing electricity capacity to support economic growth has become a national development priority in Indonesia. The construction of a power plant needs to consider not only economic but also social and environmental impacts because the government can
Djoni Hartono +5 more
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, 2000 As an explorative technique, duster analysis provides a description or a reduction in the dimension of the data. It classifies a set of observations into two or more mutually exclusive unknown groups based on combinations of many variables. Its aim is to construct groups in such a way that the profiles of objects in the same groups are relatively ...
Mucha, Hans-Joachim, Sofyan, Hizir
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Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels
Frontiers in Computer Science, 2021 Intra- and extra-cellular processes shape tissues together. For understanding how neighborhood relationships between cells play a role in this process, having image processing filters based on these relationships would be beneficial. Those operations are
Robert Haase , Robert Haase
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Jurnal Economia, 2023 There are differences in the choice of cooking fuel in Indonesian households. Some households still not yet used clean fuel for daily cooking, even though clean energy is crucial and included in the Sustainable Development Goals (SDGs).
Hadi Prasojo, Djoni Hartono
doaj +1 more source