Statistical and Computational Methods for Integrated Analysis (1756) | | Contact Person : | Prof. dr. Ziv SHKEDY |
| Language of instruction : English |
| | | Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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For following programme components you must have acquired a credit certificate, exemption, already tolerated unsatisfactory grade or selected tolerable unsatisfactory grade.
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Concepts of Bioinformatics (3566)
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4,0 stptn |
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Concepts of Probability and Statistics (1798)
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5,0 stptn |
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Linear Models (3560)
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8,0 stptn |
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There is no data for this choice.
Change the language, year or choose another item in the dropdown list if it is available.
| Degree programme | | Study hours | Credits | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 2nd year Master Bioinformatics | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical |  |
| 2nd year Master Bioinformatics - icp | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | - EC
| The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Asymptotic versus resampeling based inference.
Permutations and bootstrap tests, resampeling methods, multiplicity, familywise error rate, false discovery rates, integrated analysis, and analysis of high dimensional data.
Software development for high dimensional data
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Quarter 3 (3,00sp)
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
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| Recommended reading |
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- [Modeling Dose Response Microarray Data in Early Drug Development Experiments Using R: Order Restricted Analysis of Microarray Data],[Lin D.; Shkedy Z.; Yekutieli D.; Amaratunga D.; Bijnens L.],[1],[Springer Verlag Berlin Heidelberg],[9783642240065],[Available as e-book: https://link.springer.com/book/10.1007%2F978-3-642-24007-2]
- [Exploration and Analysis of DNA Microarray and Protein Array Data],[Dhammika Amaratunga; Javier Cabrera],[],[Wiley],[9780471273981],[]
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| Exchange Programme Statistics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student can critically appraise methodology and challenge proposals for and reported results of data analysis. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | - EC
| The student can put research and consulting aspects of one or more statistical fields into practice. | - EC
| The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Asymptotic versus resampeling based inference.
Permutations and bootstrap tests, resampeling methods, multiplicity, familywise error rate, false discovery rates, integrated analysis, and analysis of high dimensional data.
Software development for high dimensional data
|
|
|
Quarter 3 (3,00sp)
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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|
| Compulsory course material |
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|
| Recommended reading |
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- [Modeling Dose Response Microarray Data in Early Drug Development Experiments Using R: Order Restricted Analysis of Microarray Data],[Lin D.; Shkedy Z.; Yekutieli D.; Amaratunga D.; Bijnens L.],[1],[Springer Verlag Berlin Heidelberg],[9783642240065],[Available as e-book: https://link.springer.com/book/10.1007%2F978-3-642-24007-2]
- [Exploration and Analysis of DNA Microarray and Protein Array Data],[Dhammika Amaratunga; Javier Cabrera],[],[Wiley],[9780471273981],[]
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1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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