Mike Love

@mikelove

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

Chapel Hill, NC
mikelove.github.io
Beigetreten Dezember 2006
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  1. hat retweetet
    vor 11 Stunden

    Our new paper: Using Equivalent Class counts directly for testing differential transcript usage. Nice work from

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  2. hat retweetet
    18. Dez.

    The decontam method introduced in our new paper is available as an R package via Bioconductor and has an annotated tutorial. Bioconductor: Tutorial: Manuscript:

    4 Antworten 86 Retweets 144 Gefällt mir
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  3. hat retweetet
    18. Dez.

    Our intensely collaborative (5/6 authors are PIs!) review article *for biologists* about theory / mathematical modeling is out in JCS: Unite to divide – how models and biological experimentation have come together to reveal mechanisms of cytokinesis

    6 Antworten 38 Retweets 142 Gefällt mir
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  4. hat retweetet
    17. Dez.

    Congrats and Nicole Davis: really useful piece of work: Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

    1 Antwort 22 Retweets 43 Gefällt mir
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  5. hat retweetet
    17. Dez.

    PSA: The incoming CRAN submission queue will be closed from Dec 21 to Jan 2 (assumedly for a well deserved break for the volunteer team). Get your new packages and updates in before the 21st or wait until the new year.

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  6. hat retweetet
    17. Dez.

    Alevin efficiently estimates accurate gene abundances from dscRNA-seq data I was pleased to see this! Nicely solves an unsightly hack in UMI-based scRNAseq.

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  7. hat retweetet
    17. Dez.
    Antwort an

    In stat method life and then in R pkg life, I had to intentionally cultivate a neutral-to-positive attitude re: what others were doing — especially if the work is adjacent to mine. We’re embarked on a collective effort! This makes me much happier and more productive too.

    1 Antwort 3 Retweets 38 Gefällt mir
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  8. hat retweetet
    16. Dez.

    Our integrative study on dozens of in vivo RNA-binding protein datasets is out! A long standing collaboration with Tom Tuschl and fantastic work led by . I think of it as renegade inofficial companion paper 😇

    3 Antworten 66 Retweets 145 Gefällt mir
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  9. hat retweetet
    15. Dez.

    Very excited to be leading our new Translational Integrated Research Center at So many opportunities in this space bridging many disciplines with terrific computational/experimental investigators. Stay tuned!

    The aim of our new Translational Data Science IRC is to bring scientific discoveries to the bedside sooner using data-driven approaches. Meet the computational biologist who was tapped to head the cross-disciplinary effort: Dr. Raphael Gottardo.
    1 Antwort 7 Retweets 44 Gefällt mir
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  10. hat retweetet
    15. Dez.

    CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer | bioRxiv

    2 Antworten 43 Retweets 115 Gefällt mir
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  11. hat retweetet
    14. Dez.

    Polygenic risk scores for breast cancer and estrogen-receptor subtypes, developed using individual-level data on 170,000 cases and controls from the Breast Cancer Association Consortium. 313 SNPs can identify 1% of women at 4.3-fold increased risk of ER+ disease.

    New today! Mavaddat et al. develop & validate polygenic risk scores for breast cancer
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    2 Antworten 20 Retweets 51 Gefällt mir
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  12. 14. Dez.

    if you use NNLS for deconvolution, you should be adding expression profiles on the raw expression scale, not log scale. we have a helper function unmix() for making comparisons in log-like scale while doing the NNLS on the raw, easy to copy the code and modify

    1 Antwort 5 Retweets 28 Gefällt mir
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  13. hat retweetet
    14. Dez.

    Breast cancer screening is one of the most tractable uses of risk scoring. Improved predictions, with 32% BC risk in highest 1% PRS.

    1 Antwort 41 Retweets 100 Gefällt mir
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  14. hat retweetet
    13. Dez.

    Wow. PsychEncode just flooded the science publication group with 10 manuscripts revealing a significant progress made towards understanding the brain's molecular architecture. They dedicate this release to

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  15. hat retweetet
    14. Dez.

    Random thoughts about confidence intervals: When we teach precision & accuracy, we often use images of a target, like these from the Wikipedia article: But I think this analogy leads to confusion about the interpretation of the confidence interval. 1/4

    6 Antworten 93 Retweets 234 Gefällt mir
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  16. hat retweetet
    13. Dez.

    Using multiple measurements of tissue to estimate cell-type-specific gene expression via deconvolution

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    13. Dez.

    Our study with on pup recognition just out! Check it out in the following links: or

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  18. hat retweetet
    3. Sep.

    Check out our new ENIGMA GWAS: Common genetic variants impacting the structure of the human cerebral cortex, measured with MRI, in 35k humans, ~200 loci:

    2 Antworten 10 Retweets 33 Gefällt mir
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  19. hat retweetet
    14. Dez.

    The Brain Transcriptome maps are finally out! This includes some of the RNA-seq data back from my post-doc in 2008 with ! Revealing the brain's molecular architecture, one transcript at a time - see here

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  20. hat retweetet
    13. Dez.

    Important session at this morning - a discussion of the need for greater diversity in human genetics, led by . She leads off with a pretty astonishing statistic: Europeans are 80% of samples in genetic studies, vs 16% of the global population.

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