Hao Cheng (@QTLrocks) profile picture

Hao Cheng

@QTLrocks

Assistant Professor in Quantitative Genetics at UC Davis

 Davis, CA
QTL.rocks
Joined August 2017
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Replying to @QTLrocks
@QTLrocks and I developed a way to do cross-validation with multi-trait genomic prediction models that avoids a significant source of bias. Comments welcome: biorxiv.org/content/10.1101/…
Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods

Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods

Incorporating measurements on correlated traits into genomic prediction models can increase prediction accuracy and selection gain. However, multi-trait genomic prediction models are complex and...

biorxiv.org
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Nice set of population genetics simulations: phytools.org/PopGen/ They are based on Shiny apps of the learnPopGen R package cran.r-project.org/web/packa…
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The Symposium in Honour of the Significant Contributions of Robin Thompson being opened by @GregorGorjanc this morning
Image from John Hickey (@HickeyJohn)
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Hao Cheng retweeted
Hao Cheng (@QTLrocks) profile picture
Hao Cheng@QTLrocks20 Apr 2018
Replying to @pop_gen_JED @harlyjaned @DrSNilson @TroyNRowan @Wrshaff
By default, they are priors. Yes, JWAS can handle unknown variance components when runMCMC() function is used. We also have several solvers (Jacobi, GauSeidel, Gibbs) available when the solve() function is used and variance components are known.
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Lovely two-minute animated primer on the critical concept of Mendelian randomization, narrated by @mendel_random: m.youtube.com/watch?v=LoTgfG…
Image from Daniel MacArthur (@dgmacarthur)
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As job season approaches, I would very much welcome contributions to my list of teaching/research statements! github.com/RILAB/statements/…
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Super cool collection. And 97.7% of the grants here are likely high quality and recommended (the other 2.3% are mine). teapawt.org/ethanwhite/status/9026…
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My advice for a #newPI: NEVER get behind on email. I got behind on email while writing a grant 3 years ago, and I have never caught up.
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New paper: Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery nature.com/ng/journal/v49/n9… – at Edinburgh, Scotland
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If we had not made the advances we have in Ag since 1950, this is how much more we would need to fill today's needs 😮 @BioBeef
Image from Dr. Jennifer McClure (@Tickdoc2010)
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