Mike Love

@mikelove

Assist. Prof, Biostat, Genetics @ UNC-Chapel Hill, Member of LCCC. Biostatistics, Computational Biology,

Chapel Hill, NC
ಡಿಸೆಂಬರ್ 2006 ಸಮಯದಲ್ಲಿ ಸೇರಿದ್ದಾರೆ

ಮಾಧ್ಯಮ

  1. ಡಿಸೆಂ 3

    Check out these sessions at Symposium on Data Science and Statistics (5/31/2019, Seattle) , , & me: Democratizing Data Science with Workflows & : Interoperability: Your R Package Can Depend on Its Friends

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  2. ನವೆಂ 28
    ಅವರು ಮತ್ತು

    Here's the teaser for what we build out from transcriptome checksums, so with no input from user (thx again to for contributing support letter for this work!)

  3. ನವೆಂ 5

    First paper from in the lab now published in Bioinformatics. Great job Anqi! Method is implemented in Bioconductor pkg apeglm (Approximate Posterior Estimation for GLM) for 1+ year. It can be used via lfcShrink() in DESeq2

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  4. ನವೆಂ 1

    Finally we have a hex sticker, an evolution on tximport. Thanks to contributions to tximeta pkg from Bioc team (Lori Shepard, Martin Morgan) & Vince Carey

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  5. ನವೆಂ 1

    . 3.8 is released, which means so is tximeta! this idea came up more than 2 years ago, to auto-populate metadata for Salmon quant directories. the goal is no more guessing for the data you quantified earlier in a project, or from public archive. here's a demo

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  6. ಆಗ 29
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    cool! this looks like a good idea (re: modeling disp ~ mu) and it's the direction we've moved in with modeling effect sizes as well (apeglm uses Student's t). Normal has too thin tails for (most) genomics data. Either a mixture prior as in ashr or something like Student's t

  7. ಆಗ 23

    Great statement from the Dean of Gillings School of Public Health

  8. ಜುಲೈ 30
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    thanks for refs!! we'll be running addt'l methods for comparison. this was hardest part, but useful for others for our null (permuted) data, it didn't seem like outlier samples but high-dim overfitting (by inspection, the full data looks good, but it's finding patterns in noise)

  9. ಜುಲೈ 30
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    you misspelt COPSS

  10. ಜುಲೈ 29

    Plot the contributions from each assay to the common variation / latent space, use data-splitting to assess stability. Outliers in this plot worth investigating: may be biological, or sample swaps. Drop in cor may indicate overfitting. Comparing Sparse multiCCA, JIVE, and MOFA

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  11. ಜುಲೈ 27

    The motivating idea of the score

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  12. ಜುಲೈ 27

    Now on Junction Coverage Compatibility (JCC) score, diving into visuals of coverage of a gene with GTEx portal, asks, how can we automate this?

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  13. ಜುಲೈ 26

    Elana Fertig on using various matrix factorization techniques for ‘omics data

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
  14. ಜುಲೈ 25

    “Statistical Analysis and Comprehension of the Human Cell Atlas in R / ...” with and begins at

  15. ಜುಲೈ 15
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    Us too! We ran into and family on top

  16. ಜುಲೈ 11

    Lelah Haghverdi from EMBL presenting a classic topic in high throughput data analysis 😝

  17. ಜುಲೈ 5

    . begins his lecture on regulatory variation through variable chromatin modules during “Statistical Methods for Functional Genomics”

  18. ಜುಲೈ 4
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    Needs some other cool ones from lab 😄

  19. ಜುಲೈ 3

    . describing concepts for transcript quantification during “Statistical Methods for Functional Genomics”

  20. ಜುಲೈ 2

    . motivating use of the project during “Statistical Methods for Functional Genomics”

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