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Cytobank专业版

Cytobank 是一款基于云的平台，提供高维单细胞数据机器学习辅助分析。其强大的降维、聚类及预测算法可有效推进研究进程。利用 Cytobank 平台可对流式细胞术、质谱流式细胞术及其他单细胞数据进行管理和归档，通过网络设备，轻松实现用户间跨学科、跨地域的协作。

多种许可证类型供您选择
用户友好型操作界面，易于创建全面的数据分析工作流
数据可视化工具功能强大，同时分析多个单细胞数据集
为您提供额外存储空间、计算能力提升及生物信息学专家服务，助力性能优化

Cytobank 专业版功能

减少主观操作

使用 FlowSOM/SPADE 算法自动聚集表型相似细胞
使用 viSNE工具在二维图中显示多维数据，促进稀有生物亚群识别
使用 CITRUS 自动归类单细胞数据，识别样品组中具统计功效的预测性生物标记

深度分析数据

机器学习辅助算法有助于发现未知表型，并使结果可视化
利用基于云计算的并行聚类算法，加速配置优化
共享数据科学家资源；Scientific Services（科学服务）项目可为复杂项目提供生物信息学专业知识

协作

基于云数据归档和存储非常适合在受监管环境下的用户需求
用户间可在联网设备上轻松安全共享带注释的数据和方案
实验合作者可实时共享研究数据集；中央服务器即时保存实验更改信息

机器学习辅助分析大众化

专为生物学家设计，无需编码或插件，详情请登陆学习中心
在线知识存库为您提供海量文章、操作提示及应用技巧，并支持疑问支持申请表
使用实验管理器可进行项目梳理、查询，树形视图可显示实验间的关系

请选择所需的Cytobank专业版型号

Compatibility	Loads any listmode file compliant with FCS standard up through version 3.1. DROP is able to import any numeric data in a text delimited (comma, semicolon, tab) format.
Operating System or Supported Browsers	Firefox, Chrome, and Safari. A minimum 50 Mbps download speed and 10 Mbps upload speed for best performance.
Plot Types	Contour Plots, Density Plots, Dot Plots, Heatmap, Histograms, Overlay Plots

Gates or Algorithms	CITRUS, FlowSOM, SPADE, viSNE
Statistics	Channel Ranges, Coefficient of Variation (CV), Event Count, Event Count Ratio, Geometric Mean, Maximum, Mean, Median, Minimum, Percent in Gate (Literal), Percent of Population, Standard Deviation (SD), Variance

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Title	Description
Use Machine Learning Algorithms to Explore the Potential of Your High Dimensional Flow Cytometry Data Example of a 20–color Panel on CytoFLEX LX	Explore the potential of high dimensional flow cytometry data with an Example of a 20–color Panel on CytoFLEX LX. Understand how to perform machine learning algorithms like viSNE and FlowSOM to identify phenotypes of populations/subsets present in the 20–color CytoFLEX LX flow cytometry data. Build a computational flow cytometry data analysis pipeline with Cytobank. Learn how to assess the quality of viSNE maps and FlowSOM clustering results. Recognize how pre–processing steps can affect the result quality of machine learning algorithms.
Cytobank Release Notes {B14306BD-BB46-4B27-BF3E-B11862085BC7}	Release notes for Cytobank platform updates
Using Machine Learning Algorithms to Provide Deep Insights into Cellular Subset Composition {442DF88C-CA7F-4B78-AF75-9D2B985534C0}
Cytobank Single Cell Big Picture {A7DF4F56-8AF9-4BF1-88BE-766AB73FBC6B}	Cytobank provides an established cloud-based platform that accelerates research productivity by enabling you to analyze and visualize multiple complex single-cell data sets efficiently and effectively.
Automating Flow Cytometry Brochure {A7DF4F56-8AF9-4BF1-88BE-766AB73FBC6B}	Mitigating sources of variability begins during assay design, continues during analytical method development, and through process monitoring
I’m a Biologist, not a Programmer! {A0D0EF0B-43F2-431C-BEB0-69F98765BDC4}	Infographic: Snapshot of the workflow for high dimensional data analysis from start to publication, Cytobank solutions vs. others.
Cytobank Workflow - Unbiased Discovery or Guided Analysis Using Prior Knowledge? {9E29D7A5-B5EC-470A-A5C1-4EF9BFAE9959}	Flyer: Which algorithm to use for each research question? How to get the most out of your data.
Use Machine Learning Algorithms to Explore the Potential of Your High Dimensional Flow Cytometry Data Example of a 20–color Panel on CytoFLEX LX {442DF88C-CA7F-4B78-AF75-9D2B985534C0}	Understand how to perform machine learning algorithms like viSNE and FlowSOM to identify phenotypes of populations/subsets present in the 20–color CytoFLEX LX flow cytometry data
フローサイトメトリーハイパラメータ研究応援・解析ソフトウェアキャンペーン {9E29D7A5-B5EC-470A-A5C1-4EF9BFAE9959}	対象のCytoFLEXを導入いただくと、解析ソフトウェアKaluza、Cytobankが1年間実質0円！2021年3月31日受注分まで。
Cytobank簡易マニュアル {B14306BD-BB46-4B27-BF3E-B11862085BC7}	Cytobankの各種機能についてご説明します。
【カタログ】サイトメトリー解析ソフトウェア Cytobank（サイトバンク） {A7DF4F56-8AF9-4BF1-88BE-766AB73FBC6B}	クラウドベースのプラットフォームで、複雑で多様なシングルセルデータを効率的に解析・可視化・共有を行うサイトメトリー解析ソフトウェアです。

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