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[Bio-Recognize] C4.5_Kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究.运用决策树技术对数据样本进行分析，采用C4.5找到最优决策树-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies. the use of decision tree technical data samples for further analysis. C4.5 used to find optimal decision tree
Date : 2008-10-13 Size : 301.7kb User : Eric Cheng
[Bio-Recognize] ID3_kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析，采用ID3算法找到最优决策树。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies on the use of decision tree technical data samples for further analysis. ID3 algorithm used to find the optimal decision tree.
Date : 2008-10-13 Size : 301.76kb User : Eric Cheng
[Bio-Recognize] tree_Kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析.程序功能：增熵分析-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies the use of decision tree technical data sample for analysis. Programming : increasing entropy analysis
Date : 2008-10-13 Size : 296.79kb User : Eric Cheng
[Bio-Recognize] C4.5_Kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究.运用决策树技术对数据样本进行分析，采用C4.5找到最优决策树-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies. the use of decision tree technical data samples for further analysis. C4.5 used to find optimal decision tree
Date : 2025-12-20 Size : 301kb User : Eric Cheng
[Bio-Recognize] ID3_kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析，采用ID3算法找到最优决策树。-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies on the use of decision tree technical data samples for further analysis. ID3 algorithm used to find the optimal decision tree.
Date : 2025-12-20 Size : 302kb User : Eric Cheng
[Bio-Recognize] tree_Kidney DL : 0: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析.程序功能：增熵分析-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies the use of decision tree technical data sample for analysis. Programming : increasing entropy analysis
Date : 2025-12-20 Size : 297kb User : Eric Cheng
[Bio-Recognize] BudCount DL : 0: 生物学中，顶端优势现象普遍存在。顶端优势指的是：植物的顶芽会优先声张，从而抑制侧芽的生长。如果植物的某个分叉点包括多个芽，我们通常需要摘去其中的顶芽来保证别的芽的正常生长。算法计算了一棵树的需要摘除芽的个数。-Biology, the widespread phenomenon of apical dominance. Advantage refers to the top: Bud plants will be given a quiet, thereby inhibiting the growth of lateral bud. If a bifurcation point of the plant, including a number of shoots, we usually removed the terminal bud to ensure the normal growth of other buds. Algorithm needs a tree removed the number of buds.
Date : 2025-12-20 Size : 1kb User : swark
[Bio-Recognize] tree-alignment DL : 0: 多序列对齐，先用edit distance做打分矩阵，找到最相近的中心序列。然后用树状图做多序列对齐。-multiple sequence alignment， used edit distance and tree alignment。
Date : 2025-12-20 Size : 2kb User : gaomi
[Bio-Recognize] ConstraintChecker DL : 0: 给定一组基因及其部分同源或者是悖谬逻辑关系，建立一个基因树描述这些关系，并且这样一个基因树，与一个物种树符合，是一个Python脚本-Given a set of genes and their partially homologous or perverse logic, the establishment of a gene tree describing these relations, and such a gene tree with a species tree accord, is a Python script
Date : 2025-12-20 Size : 276kb User : lubo
[Bio-Recognize] PolytomySolversample DL : 0: 给定一个非二进制基因树和二进制的树种，发现的基因树的重复和损失最小的最优算法PolytomySolver-Given a non-binary gene trees and binary trees, duplication and loss of genes found in the smallest tree optimal algorithm PolytomySolver
Date : 2025-12-20 Size : 1.76mb User : lubo
[Bio-Recognize] paralogy-corrector-new-master DL : 0: 给定一个基因树，物种树和列表所需的同源基因对，找到一个基因树尽可能满足这些约束条件的解，用QT开发的-Given a gene tree and a list of required tree species homologous genes, finding a gene tree solutions possible to meet these constraints, with the QT development
Date : 2025-12-20 Size : 595kb User : lubo
[Bio-Recognize] geneplast_1.0.0.tar DL : 0: Geneplast is designed for evolutionary and plasticity analysis based on orthologous groups distribution in a given species tree. It uses Shannon information theory and orthologs abundance to estimate the Evolutionary Plasticity Index. Additionally, it implements the Bridge algorithm to determine the evolutionary root of a given gene based on its orthologs distribution.
Date : 2025-12-20 Size : 476kb User : anson