This season we will be covering papers from outside the group (~8), sfotware from the group (1-2) and eventually discussion of grant proposals.
Papers: chose one paper from the list below or propose one. Papers should: (a) introduce novel metholdology that is relevant to the topics of research of interest of the group, or (b) be relevant to the particular applications you are working on.
Software: we will organize 1-2 sections to share software being developed by the group.
Grant proposals: if time permit we will include on section on grant writing (format to be determined).
- Date: Wednesday, January 20, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, January 27, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, February 3, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, February 10, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, February 17, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, February 24, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, March 2, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Wednesday, March 9, 2016. (No Lab Meeting, Spring Break)
- Date: Wednesday, March 16, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, March 23, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, March 30, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, April 6, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, April 13, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, April 20, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- Date: Wednesday, April 27, 2016.
- Time: 1:45-2:45pm
- Room: Central Conference Room
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- [ Lo et al., Why significant variables aren’t automatically good predictors (PNAS, 2015) ] (http://www.pnas.org/content/112/45/13892.abstract)
- Canela-Xandri et al., Accurate genetic profiling of anthropometric traits using a big data approach.
- Kumar et al., Limitations of GCTA as a solution to the missing heritability problem (PNAS, 2015)
- Mancuso et al. The contribution of rare variation to prostate cancer heritability (NG, 2015)
- Loh et al. "Bolt-REML" (NG, 2015)
- Volfovsky et al., Testing for Nodal Dependence in Relational Data Matrices (JASA, 2015)
- Jiang et al., The E-MS Algorithm: Model Selection With Incomplete Data (JASA, 2015)
- Efron, Estimation and Accuracy after Model Selection (JASA, 2014)
- Li et al. A Gene Regulatory Program in Human Breast Cancer (Genetics, 2015)
- Bourke et al. The Double-Reduction Landscape in Tetraploid Potato as Revealed by a High-Density Linkage Map (Genetics, 2015)
- Deans & Maggert, What do you mean "Epigenetic"? (Genetics, 2015)