assignmentutor-lab™ 为您的留学生涯保驾护航 在代写网络分析Network Analysis方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写网络分析Network Analysis代写方面经验极为丰富，各种代写网络分析Network Analysis相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|网络分析代写Network Analysis代考|SNAP: the Stanford network analysis project

The Stanford network analysis platform (SNAP) [20], is a general-purpose system for analysis and management of networks that is freely available through a website http://snap.stanford.edu/. SNAP is implemented in different languages, such as $\mathrm{C}++$ and Python. It offers over 140 different graph algorithms that can efficiently manipulate large graphs, calculate structural properties, generate regular and random graphs, and handle attributes and metadata on nodes and edges.

An important part of SNAP is the network dataset collection [19] that contains more than 80 different social and information real-world networks and datasets. Networks models many domains, such as biological networks, social networks, citation and collaboration networks, as well as Web and media networks.

Table $5.3$ gives the types of datasets in the collection. The datasets are collected as part of our research in the past and, in that sense, represent typical graphs being analyzed. It gives the distribution of graph sizes in the collection. It can be observed that a vast majority of graphs are relatively small, with less than 100 million edges, thus can easily be analyzed in SNAP.

NetworkRepository (NR) ${ }^{18}[25]$ is a data repository for a network of different types (e.g., brain networks, social networks, etc.) available through a web-based platform. It stores more than 1000 various systems, and it also provides interactive visual analysis and an interactive graph analytics platform. Therefore the user of this database can manage, visualize networks, as well as analyze single systems or compare multiple networks using network statistics. NR also enables collaboration among users by allowing the users to discuss datasets, and to make a correction on data and analytics. The social aspect of NetworkRepository is a unique characteristic among others.

## 统计代写|网络分析代写Network Analysis代考|Expression network and analysis: the workflow

Gene expression has become very essential in system-level understanding of behavior of genes. High-throughput microarray and next generation sequencing (NGS) technology makes available a large repository of expression data. It allow us to study the dynamic behavior of a gene inside a cell. Reverse engineering is a promising area of research in systems biology; it aims to recreate the cellular system for better understanding of biological mechanism. The development of a suitable reverse engineering method is important to get insight into the gene-gene relationships. Study of such data may enable us to address various issues, such as how a gene participates in a cellular process; what are the activities of different genes; in which cell and under which conditions, do the genes become active; how the activity of a gene is influenced by various diseases or drugs, and how genes contribute to diseases. One of the major goals in analyzing expression data is to determine how the expression of any particular gene may affect the expression of other genes or how one gene regulates another gene. Gene-gene relationships can be described through biological pathways, which can be represented as networks, broadly classified [66] as metabolic pathways, signal transduction pathways, and gene regulatory networks. The most preliminary network is the gene coexpression network, which describes certain association among genes.

Genes that affect one another may belong to the same gene network. A gene network is a set of related genes, where expression of one gene may influence the other gene’s activity. A group of co-regulated genes may form gene clusters that can encode proteins, which interact amongst themselves and take part in common biological processes. In silico reconstruction of such biological networks is essential for exploring regulatory mechanisms and is useful in better understanding of the cellular environment to investigate complex interactions [43]. In an organism, coexpression of genes depend on their sharing of the regulatory mechanism.

# 网络分析代考

## 统计代写|网络分析代写Network Analysis代考|SNAP:斯坦福网络分析项目

SNAP的一个重要组成部分是网络数据集[19]，它包含80多个不同的社交和信息现实网络和数据集。网络模拟了许多领域，如生物网络，社会网络，引用和协作网络，以及网络和媒体网络

NetworkRepository (NR) ${ }^{18}[25]$是通过基于web的平台提供的不同类型的网络(如大脑网络、社交网络等)的数据存储库。它存储了1000多个不同的系统，还提供了交互式可视化分析和交互式图形分析平台。因此，该数据库的用户可以管理、可视化网络，以及使用网络统计数据分析单个系统或比较多个网络。NR还允许用户讨论数据集，并对数据和分析进行修正，从而实现了用户之间的协作。NetworkRepository的社交方面是一个独特的特征

.

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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