Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.

JMIR research protocols·2026
Same author

Pembrolizumab plus high-dose IL-2 in advanced clear cell renal cell carcinoma: six-year survival outcomes and molecular signatures from a phase 2 trial.

Nature communications·2026
Same author

A MAFG~MITF complex drives melanoma phenotype switching and progression.

Nature communications·2026
Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Synthetic Data Generation and Nonparametric Techniques for Assessing Multivariate Similarity to Address Small-Sample Size Challenges.

bioRxiv : the preprint server for biology·2026
Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Editor's Note: Heterodimerization of Insulin-like Growth Factor Receptor/Epidermal Growth Factor Receptor and Induction of Survivin Expression Counteract the Antitumor Action of Erlotinib.

Cancer research·2026
Same journal

Editor's Note: Deguelin Analogue SH-1242 Inhibits Hsp90 Activity and Exerts Potent Anticancer Efficacy with Limited Neurotoxicity.

Cancer research·2026
Same journal

Retraction: Two Functional Epitopes of Pigment Epithelial-Derived Factor Block Angiogenesis and Induce Differentiation in Prostate Cancer.

Cancer research·2026
Same journal

Editor's Note: Chronic Stress Facilitates Lung Tumorigenesis by Promoting Exocytosis of IGF2 in Lung Epithelial Cells.

Cancer research·2026
Same journal

MIF-CD74 Signaling Defines a Brain-Specific Immune Vulnerability in Metastasis and Neurologic Disease.

Cancer research·2026
Same journal

Forging New Pathways in Oncology: Strategic Insights from the 17th Annual Frontiers in Cancer Science Conference.

Cancer research·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.4K

spatialGE 是一个用户友好的 Web 应用程序,它促进了空间转录学数据分析.

Oscar E Ospina1, Roberto Manjarres-Betancur2, Guillermo Gonzalez-Calderon2

  • 1Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.

Cancer research
|December 5, 2024
PubMed
概括
此摘要是机器生成的。

空间转录学 (ST) 分析现在可以通过 spatialGE,一个用户友好的网络应用程序. 该工具简化了复杂的数据分析,使研究人员能够探索空间基因表达模式,并获得无需编程技能的组织生物学见解.

更多相关视频

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.8K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.5K

相关实验视频

Last Updated: Jun 12, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.4K
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.8K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.5K

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 空间转录学 (ST) 提供了对组织生物学和疾病机制的有力见解.
  • 目前,高层次的数据分析和编程技能限制了ST技术的广泛采用.
  • 需要可访问的工具来促进ST数据的探索和解释.

研究的目的:

  • 开发spatialGE,一个旨在简化空间转录学数据分析的Web应用程序.
  • 为缺乏编程专业知识的研究人员提供一个用户友好的点击界面.
  • 为了实现全面的ST数据分析,包括质量控制,规范化和空间模式识别.

主要方法:

  • 开发具有直观图形用户界面的spatialGE网络应用程序.
  • 在应用程序中实现各种ST数据分析管道.
  • 使用来自黑色素瘤和默克尔细胞癌研究的10 × Visium和NanoString CosMx数据集验证空间GE.

主要成果:

  • spatialGE成功地引导用户通过复杂的ST数据分析,而不需要编码知识.
  • 该应用程序促进了多个样本的比较分析,并支持各种ST技术.
  • 对瘤微环境数据集的分析揭示了显著的空间基因表达模式.

结论:

  • spatialGE使空间转录学分析民主化,使更广泛的研究社区能够获得先进的见解.
  • 该工具有效地识别了基因表达中的关键空间模式,有助于理解瘤微环境.
  • spatialGE促进了假设的产生,加速了ST研究中的发现.