Difference between revisions of "EDA-CLU-Concepts"
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Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.
Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.
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Clustering Concepts | Clustering Concepts | ||
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| − | + | (Concepts of clustering and cluster analysis) | |
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| − | Concepts of clustering and cluster analysis | ||
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| − | + | <div style="font-size:118%;"> | |
| − | + | <b>Abstract:</b><br /> | |
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<section begin=abstract /> | <section begin=abstract /> | ||
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This unit introduces topics of clustering and cluster analysis in bioinformatics. | This unit introduces topics of clustering and cluster analysis in bioinformatics. | ||
<section end=abstract /> | <section end=abstract /> | ||
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| − | + | <!-- ============================ --> | |
| − | + | <hr> | |
| − | + | <table> | |
| − | == | + | <tr> |
| − | === | + | <td style="padding:10px;"> |
| − | < | + | <b>Objectives:</b><br /> |
| + | ... | ||
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| + | <td style="padding:10px;"> | ||
| + | <b>Outcomes:</b><br /> | ||
| + | ... | ||
| + | </td> | ||
| + | </tr> | ||
| + | </table> | ||
| + | <!-- ============================ --> | ||
| + | <hr> | ||
| + | <b>Deliverables:</b><br /> | ||
| + | <section begin=deliverables /> | ||
| + | <li><b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.</li> | ||
| + | <li><b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.</li> | ||
| + | <li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li> | ||
| + | <section end=deliverables /> | ||
| + | <!-- ============================ --> | ||
| + | <hr> | ||
| + | <section begin=prerequisites /> | ||
| + | <b>Prerequisites:</b><br /> | ||
*[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]] | *[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]] | ||
| + | <section end=prerequisites /> | ||
| + | <!-- ============================ --> | ||
| + | </div> | ||
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| − | {{ | + | {{Smallvspace}} |
| − | + | __TOC__ | |
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{{Vspace}} | {{Vspace}} | ||
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=== Evaluation === | === Evaluation === | ||
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<b>Evaluation: NA</b><br /> | <b>Evaluation: NA</b><br /> | ||
| − | :This unit is not evaluated for course marks. | + | <div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div> |
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== Contents == | == Contents == | ||
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{{Task|1= | {{Task|1= | ||
* Read the introductory notes on {{ABC-PDF|EDA-CLU-Concepts|clustering approaches for exploratory data analysis}}. | * Read the introductory notes on {{ABC-PDF|EDA-CLU-Concepts|clustering approaches for exploratory data analysis}}. | ||
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== Self-evaluation == | == Self-evaluation == | ||
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=== Question 1=== | === Question 1=== | ||
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--> | --> | ||
| + | == Further reading, links and resources == | ||
| + | <!-- Formatting exqmples: | ||
| + | {{#pmid: 19957275}} | ||
| + | <div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> | ||
| + | --> | ||
| + | == Notes == | ||
| + | <references /> | ||
{{Vspace}} | {{Vspace}} | ||
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<div class="about"> | <div class="about"> | ||
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*0.1 First stub | *0.1 First stub | ||
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{{CC-BY}} | {{CC-BY}} | ||
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Latest revision as of 09:27, 25 September 2020
Clustering Concepts
(Concepts of clustering and cluster analysis)
Abstract:
This unit introduces topics of clustering and cluster analysis in bioinformatics.
|
Objectives: |
Outcomes: |
Deliverables:
Prerequisites:
Sorry!
This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.
Evaluation
Evaluation: NA
This unit is not evaluated for course marks.
Contents
Task:
- Read the introductory notes on clustering approaches for exploratory data analysis.
Self-evaluation
Further reading, links and resources
Notes
About ...
Author:
- Boris Steipe <boris.steipe@utoronto.ca>
Created:
- 2017-09-17
Modified:
- 2017-09-18
Version:
- 0.1
Version history:
- 0.1 First stub
This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.
Sorry!
This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.
