Details
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Type:
Task
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Status: Closed (View Workflow)
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Priority:
Major
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: None
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Labels:None
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Story Points:2
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Epic Link:
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Sprint:Fall 4, Fall 5
Description
GOAL: To run McClust on Kelsey's data.
This is an alternative to K-means clustering.
"K-means is generally not the most effective method for clustering time-course RNA-seq data. While it is simple and fast, K-means can fail to capture the temporal dependencies inherent in this type of data, leading to suboptimal or biologically meaningless clusters. Specialized methods that account for time-dependent expression patterns are often more appropriate. " pulled this straight from google, gonna see if I can find a paper to back this up
From.....
That quote comes from this paper, which cited the article you sent me earlier: https://link.springer.com/article/10.1186/s13059-021-02337-8
Attachments
Activity
| Field | Original Value | New Value |
|---|---|---|
| Epic Link | IGBF-2993 [ 21429 ] |
| Status | To-Do [ 10305 ] | In Progress [ 3 ] |
| Status | In Progress [ 3 ] | Needs 1st Level Review [ 10005 ] |
| Status | Needs 1st Level Review [ 10005 ] | First Level Review in Progress [ 10301 ] |
| Status | First Level Review in Progress [ 10301 ] | Ready for Pull Request [ 10304 ] |
| Status | Ready for Pull Request [ 10304 ] | Pull Request Submitted [ 10101 ] |
| Status | Pull Request Submitted [ 10101 ] | Reviewing Pull Request [ 10303 ] |
| Status | Reviewing Pull Request [ 10303 ] | Merged Needs Testing [ 10002 ] |
| Status | Merged Needs Testing [ 10002 ] | Post-merge Testing In Progress [ 10003 ] |
| Sprint | Fall 4 [ 227 ] | Fall 4, Fall 5 [ 227, 228 ] |
| Rank | Ranked higher |
| Resolution | Done [ 10000 ] | |
| Status | Post-merge Testing In Progress [ 10003 ] | Closed [ 6 ] |