In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes (SVGs) is crucial. Numerous computational methods exist, but varying SVG definitions and methodologies lead to inco
The clustering or categorizing is repeated adjusted based on received user input to generate an updated model associating documents with classes. Outlier and. ambiguity measures are also calculated at runtime for new documents classified using the model.ジーン ミッシェル レンダース...
In single-cell RNA-seq data analysis (Fig.1), common steps after HVG detection include cell clustering and differentially expressed gene (DEG) detection. The goal of cell clustering is to identify potential cell types, and subsequent DEG detection aims to find the genes that are significantly mo...
Methods, systems, and apparatus, including computer program products, for query ranking based on query clustering and categorization, are disclosed. In one aspect, search queries are selected and grouped into one or more clusters. A representative query is selected for each cluster. Each cluster is...
1. 概述 广义的分类(classification或者categorization)有两种含义:一种含义是有指导的学习(supervised learning)过程,另一种是无指导的学习(unsupervised learning)过程。通常前者称为分类,后者称为聚类(clustering)...
In this paper, we call this process as associative categorization, which is different from classical clustering, associative classification and associative clustering. Focusing on representing the associations of behaviors and the corresponding uncertainties, we propose the method for constructing a Markov ...
between clustering and text categorisation. Clustering is a way to group text according to its character; text categorisation classifies text according to predefined categories (Ishida, 2006). The literature reviewed here adopts a general approach and, as such, treats all of these terms synonymously ...
The term weighting methods assign appropriate weights to the terms to improve the performance of text ategorization. In this study, the investigate several widely-used unsupervised (traditional) and supervised term weighting methods on benchmark data collections in combination with NLP and Clustering ...
Most of them have dealt with the automatic clustering of controlled indexed terms into clusters and with using them to assist IR systems in the query expansion process so as to improve the precision and recall ratios. There have been some works on terminology analysis for Web IR [2], [4] ...
CAZyme families contain multiple types of molecular enzyme functions, i.e. the reactions the enzymes catalyze, denoted by different EC numbers2, and some of the larger CAZyme families have been subdivided into subfamilies by multiple alignment3,4,5. Recently, a new alignment-free clustering ...