Mike Love

@mikelove

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

Chapel Hill, NC
mikelove.github.io
Bergabung Desember 2006
192 Foto dan video Foto dan video

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  1. me-Retweet
    11 jam yang lalu

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

    4 balasan 27 retweet 66 suka
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  2. me-Retweet
    18 Des

    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 balasan 86 retweet 144 suka
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  3. me-Retweet
    18 Des

    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 balasan 38 retweet 142 suka
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  4. me-Retweet
    17 Des

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

    1 balasan 22 retweet 43 suka
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  5. me-Retweet
    17 Des

    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.

    9 retweet 23 suka
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  6. me-Retweet
    17 Des

    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.

    8 retweet 15 suka
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  7. me-Retweet
    17 Des
    Membalas

    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 balasan 3 retweet 38 suka
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  8. me-Retweet
    16 Des

    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 balasan 66 retweet 145 suka
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  9. me-Retweet
    15 Des

    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 balasan 7 retweet 44 suka
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  10. me-Retweet
    15 Des

    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 balasan 43 retweet 115 suka
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  11. me-Retweet
    14 Des

    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 balasan 20 retweet 51 suka
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  12. 14 Des

    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 balasan 5 retweet 28 suka
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  13. me-Retweet
    14 Des

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

    1 balasan 41 retweet 100 suka
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  14. me-Retweet
    13 Des

    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

    9 retweet 35 suka
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  15. me-Retweet
    14 Des

    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 balasan 93 retweet 234 suka
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  16. me-Retweet
    13 Des

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

    8 retweet 20 suka
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  17. me-Retweet
    13 Des

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

    5 balasan 22 retweet 83 suka
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  18. me-Retweet
    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 balasan 10 retweet 33 suka
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  19. me-Retweet
    14 Des

    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

    1 balasan 16 retweet 43 suka
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  20. me-Retweet
    13 Des

    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.

    13 balasan 129 retweet 236 suka
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