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The global <i>K</i>-means algorithm for identifying prototype disease models.

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数据链接：

https://figshare.com/articles/dataset/The_global_i_K_i_-means_algorithm_for_identifying_prototype_disease_models_/7903127 数据链接链接失效反馈

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资源简介：

The global K-means algorithm for identifying prototype disease models.

应用场景：

创建时间：

2019-03-27

医学影像分析

疾病亚型分类

The aim of this study was to analyze the differences in the distribution of abdominal adipose tissue between the two subtypes of primary aldosteronism (PA) using abdominal computed tomography. We retr

NIAID Data Ecosystem80

The global K-means algorithm for identifying prototype disease models.

疾病亚型分类

精准医疗建模

The global K-means algorithm for identifying prototype disease models.

Figshare2019-03-27 更新20

Gene Features Selection for Three-Class Disease Classification via Multiple Orthogonal Partial Least Square Discriminant Analysis and S-Plot Using Microarray Data

基因表达特征

疾病亚型分类

MotivationDNA microarray analysis is characterized by obtaining a large number of gene variables from a small number of observations. Cluster analysis is widely used to analyze DNA microarray data to

Figshare2016-01-18 更新20

Inferring Pathway Activity toward Precise Disease Classification

通路活性推断

疾病亚型分类

The advent of microarray technology has made it possible to classify disease states based on gene expression profiles of patients. Typically, marker genes are selected by measuring the power of their

NIAID Data Ecosystem50

Compendium subtype distribution.

疾病亚型分类

临床预后分析

Distribution of class labels and subtypes for the 892 samples with a proper class label. and denote the number of negative (good prognosis) and positive (poor prognosis) cases of for each subtype ,

NIAID Data Ecosystem20

The global <i>K</i>-means algorithm for identifying prototype disease models.

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