Synopsis of Social media discussions
The discussions strongly emphasize the tool's capabilities for visualizing gene expression gradients, with comments like 'interactive exploration' and 'versatile visualization,' demonstrating a positive outlook on its potential influence. The tone reflects curiosity and appreciation for its real-time interactivity, which contributes to the overall moderate positive assessment.
Agreement
Moderate agreementMost discussions recognize the significance of SpaceWalker as a useful visual tool for exploring spatial transcriptomics data, indicating general support.
Interest
Moderate level of interestPosts display moderate interest, with some highlighting the utility of the tool and its potential for biological insights.
Engagement
Moderate level of engagementPosts show some engagement by mentioning specific features like interactive exploration and visualization, but lack deep technical discussion.
Impact
Moderate level of impactParticipants agree that the tool could enhance research workflows and data analysis, suggesting moderate to high impact on the field.
Social Mentions
YouTube
4 Videos
2 Posts
Metrics
Video Views
275
Total Likes
6
Extended Reach
10,290
Social Features
6
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Interactive 3D Visualization of Mouse Brain Using SpaceWalker and Allen Atlas
This video introduces SpaceWalker, a visualization tool for exploring spatial transcriptomics data with real-time interaction. It enables detailed examination of gene expression gradients and tissue features in 2D and 3D datasets, supporting diverse protocols and large brain datasets.
Interactive Spatial Transcriptomics Analysis with SpaceWalker
This video introduces SpaceWalker, a visual tool for analyzing spatial transcriptomics data. It enables interactive exploration of gene expression gradients, revealing tissue features and biological patterns in 2D and 3D datasets, facilitating real-time analysis.
Interactive Gradient Exploration in Spatial Transcriptomics with SpaceWalker
This video introduces SpaceWalker, a visual tool for exploring gene expression gradients in spatial transcriptomics data, aiding researchers in analyzing tissue structures and biological patterns in 2D and 3D datasets.
SpaceWalker for Real-Time Exploration of Spatial Transcriptomics Data
This video introduces SpaceWalker, a tool for interactive gradient exploration of spatial transcriptomics data, highlighting its ability to reveal gene expression patterns related to tissue structures and cell states in 2D and 3D datasets.
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SpaceWalker enables interactive gradient exploration for spatial transcriptomics data. #SpatialTranscriptomics #DataVisualization @CellRepMethods https://t.co/C3mRj8eNyT
view full postDecember 3, 2023
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Cell Reports Methods
@CellRepMethods (Twitter)SpaceWalker enables interactive gradient exploration for spatial transcriptomics data https://t.co/XRM2CHZBQq
view full postNovember 15, 2023
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Abstract Synopsis
- SpaceWalker is a visual tool that helps researchers explore and analyze spatial transcriptomics data by revealing gene expression gradients related to tissue structures and cell states.
- It uses a floodfill algorithm guided by the data's intrinsic dimensionality to identify groups of similar cells, making it easier to see tissue features and biological patterns in 2D and 3D datasets.
- The tool is versatile, working well with various types of spatial transcriptomics protocols and large 3D brain datasets, all while allowing users to interact in real-time.]
Javier Santoyo
@jsantoyo (Twitter)