Results 71 to 80 of about 3,381,889 (354)
Examination of Clustering in Eutectic Microstrcture
Archives of Metallurgy and Materials, 2017 The eutectic microstructures are complex microstructures and a hard work to describe it with few numbers. The eutectics builds up eutectic cells. In the cells the phases are clustered.
Bortnyik K., Barkóczy P.
doaj +1 more source
Isotropic Dynamic Hierarchical Clustering [PDF]
, 2016 We face a need of discovering a pattern in locations of a great number of points in a high-dimensional space. Goal is to group the close points together. We are interested in a hierarchical structure, like a B-tree.
Rutishauser, Oliver, Sadikov, Victor
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Molecular Oncology, EarlyView.A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space
Knowledge Discovery and Data Mining, 2019 Hierarchical clustering is typically performed using algorithmic-based optimization searching over the discrete space of trees. While these optimization methods are often effective, their discreteness restricts them from many of the benefits of their ...
Nicholas Monath +4 more
semanticscholar +1 more source
ClustGeo: an R package for hierarchical clustering with spatial constraints [PDF]
Computational statistics (Zeitschrift), 2017 In this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices D0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage ...
M. Chavent +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
Exploiting Homogeneity of Density in Incremental Hierarchical Clustering [PDF]
ITB Journal of Engineering Science, 2006 Hierarchical clustering is an important tool in many applications. As it involves a large data set that proliferates over time, reclustering the data set periodically is not an efficient process.
Dwi H. Widiyantoro
doaj
Statistical Significance for Hierarchical Clustering [PDF]
Biometrics, 2017 Summary Cluster analysis has proved to be an invaluable tool for the exploratory and unsupervised analysis of high-dimensional datasets. Among methods for clustering, hierarchical approaches have enjoyed substantial popularity in genomics and other fields for their ability to simultaneously uncover multiple layers of clustering structure.
Kimes, Patrick K. +3 more
openaire +3 more sources
Statistical Properties of Convex Clustering
, 2015 In this manuscript, we study the statistical properties of convex clustering. We establish that convex clustering is closely related to single linkage hierarchical clustering and $k$-means clustering.
Tan, Kean Ming, Witten, Daniela
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Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Molecular Oncology, EarlyView.Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source