Search - cancer data

Search - cancer data - List

[Other] Breastcancerdataset DL : 0: breast cancer dataset，是研究支持向量机，样本选择方法，核方法的一个非常重要的数据集-breast cancer dataset, is to examine the support vector machine, sample selection methods, nuclear methods of a very important data set
Update : 2025-02-17 Size : 14kb Publisher : wct
[matlab] mass_spec DL : 0: Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp -Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp
Update : 2025-02-17 Size : 144kb Publisher : 张山
[AI-NN-PR] SSiCP2.0b DL : 0: 基于weka平台的数据挖掘方法，改进特征基因选择过程，使得癌症分类精度更高-Weka platform based on data mining methods, to improve the characteristics of gene selection process, making cancer a higher classification accuracy
Update : 2025-02-17 Size : 3.42mb Publisher : 王莲花
[matlab] csv DL : 0: matlab里读取*.csv文件，进行数据处理-matlab Lane read*. csv file, for data processing
Update : 2025-02-17 Size : 1kb Publisher : yhm
[matlab] Bayesian_Classification DL : 0: 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an important case of pattern recognition.
Update : 2025-02-17 Size : 608kb Publisher : 苏冠华
[AI-NN-PR] BioinfYeastzipCode DL : 0: 乳腺癌分类程序，带有部分的原始数据，非常好-Breast cancer classification procedures, with part of the raw data, very good
Update : 2025-02-17 Size : 3.59mb Publisher : Mike
[matlab] Breast_cancer_recognition DL : 0: Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.
Update : 2025-02-17 Size : 61kb Publisher : jacxon4
[matlab] julei DL : 2: 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations
Update : 2025-02-17 Size : 610kb Publisher : 林云龙
[AI-NN-PR] neural-networkclassification- DL : 0: 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
Update : 2025-02-17 Size : 46kb Publisher : jiaxing
[Special Effects] multisensor-image-data-fusion-based-on-pixel-leve DL : 0: medical image fusion in breast cancer.
Update : 2025-02-17 Size : 247kb Publisher : mitesh
[AI-NN-PR] patients-with-cancer-prediction DL : 0: 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
Update : 2025-02-17 Size : 45kb Publisher : zhangzhi
[AI-NN-PR] breast-cancer DL : 0: 用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis
Update : 2025-02-17 Size : 691kb Publisher : 冯燕
[AI-NN-PR] cancer DL : 0: 单层竞争神经网络的数据分类—患者癌症发病预测-Monolayer competitive neural network data classification- cancer in patients with predicted
Update : 2025-02-17 Size : 45kb Publisher : michael zhang
[Windows Develop] GBayesian_Claa DL : 1: 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。 -Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the pattern recognition of the important cases.
Update : 2025-02-17 Size : 609kb Publisher : wyq52103
[Industry research] soria2008a DL : 0: Breast Cancer Data Clustering using various segmentation algorithms.
Update : 2025-02-17 Size : 173kb Publisher : PRASHANTH
[DataMining] DataMining DL : 1: 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
Update : 2025-02-17 Size : 240kb Publisher : suzhonghua
[Windows Develop] ghsc274789190419081 DL : 0: cooperlab.github.io: Software the Cooper Lab for Cancer Data Science at Emory University-cooperlab.github.io: Software the Cooper Lab for Cancer Data Science at Emory University
Update : 2025-02-17 Size : 24kb Publisher : Chao
[Other] breast-cancer-wisconsin.data DL : 0: 分类数据集，一般用于机器学习，数据挖掘等(breast;cancer;wisconsin;data)
Update : 2025-02-17 Size : 5kb Publisher : 小蚂蚁呀
[Other] data DL : 0: breast cancer dataset
Update : 2025-02-17 Size : 47kb Publisher : elordy
[AI-NN-PR] 模式识别代码 DL : 0: 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorithm +SVM, ISODATA, perceptron algorithm, LMSE, neural network and so on. It is used for good clustering results and is a reference for pattern recognition.)
Update : 2025-02-17 Size : 6kb Publisher : 张小明12345

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