ಟ್ವೀಟ್‌ಗಳು

	Mike Love @mikelove	2 ಗಂ.
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @EduEyras @AliciaOshlack ಮತ್ತು 2 ಇತರರು We found that DEXSeq on scaledTPM could find DTU. Two notes are that we did both count and PSI filtering using DRIMSeq functions and this approach is much faster than running on exonic parts
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Alicia Oshlack @AliciaOshlack	11 ಗಂ.
	Our new paper: Using Equivalent Class counts directly for testing differential transcript usage. Nice work from @marekcmero @nadia_davidson biorxiv.org/content/early/… pic.twitter.com/JTANHlLQzZ
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Benjamin Callahan @bejcal	ಡಿಸೆಂ 18
	The decontam method introduced in our new @MicrobiomeJ paper is available as an R package via Bioconductor and has an annotated tutorial. Bioconductor: bioconductor.org/packages/relea… Tutorial: benjjneb.github.io/decontam/vigne… Manuscript: microbiomejournal.biomedcentral.com/articles/10.11…
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Amy Shaub Maddox @AmyShaubMaddox	ಡಿಸೆಂ 18
	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 jcs.biologists.org/content/131/24…
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	Mike Love @mikelove	ಡಿಸೆಂ 18
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @BenMansfeld @nomad421 Yes, that’s our recommended approach
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Susan Holmes @SherlockpHolmes	ಡಿಸೆಂ 17
	Congrats @bejcal @hyposalivation and Nicole Davis: really useful piece of work: Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data microbiomejournal.biomedcentral.com/articles/10.11…
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Gabe Becker @groundwalkergmb	ಡಿಸೆಂ 17
	#rstats 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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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Andrew McDavid @EquivMeasures	ಡಿಸೆಂ 17
	Alevin efficiently estimates accurate gene abundances from dscRNA-seq data biorxiv.org/content/early/… I was pleased to see this! Nicely solves an unsightly hack in UMI-based scRNAseq.
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Jenny Bryan @JennyBryan	ಡಿಸೆಂ 17
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @tslumley 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.
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Uwe Ohler @uwe_ohler	ಡಿಸೆಂ 16
	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 @neelmukherj . I think of it as renegade inofficial @ENCODE_NIH companion paper 😇 academic.oup.com/nar/advance-ar…
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Raphael Gottardo 🇫🇷⭐⭐ @raphg	ಡಿಸೆಂ 15
	Very excited to be leading our new Translational #DataScience Integrated Research Center at @fredhutch So many opportunities in this space bridging many disciplines with terrific computational/experimental investigators. Stay tuned! twitter.com/fredhutch/stat…
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Dr. Elana J Fertig @FertigLab	ಡಿಸೆಂ 15
	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 biorxiv.org/content/early/…
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	Mike Love @mikelove	ಡಿಸೆಂ 15
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @FertigLab @suchisaria @DavidDuvenaud Me too. Reviewers/editors encouraging to take out or downplay limitations. Limitations are useful for users and developers
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Peter Kraft @GENES_PK	ಡಿಸೆಂ 14
	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. twitter.com/AJHGNews/statu…
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	Mike Love @mikelove	ಡಿಸೆಂ 14
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @ivivek87 I think nearly all the deconvolution method papers talk about this. the log is not distributive, log(a + b) =/= log(a) + log(b). i think it's relevant for whenever you are trying to figure out mixtures. unmix() was written for a collaboration and has no paper associated with it
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	Mike Love @mikelove	ಡಿಸೆಂ 14
	ಇವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸಲಾಗುತ್ತಿದೆ @DCGenomics Oh I got a long thread from Terence on this. I think the main thing is that there is a restructuring coming for how “latest” will be made available. Permalinks are super important
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	Mike Love @mikelove	ಡಿಸೆಂ 14
	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
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Dr Cathryn Lewis @cathrynlewis	ಡಿಸೆಂ 14
	Breast cancer screening is one of the most tractable uses of #polygenic risk scoring. Improved predictions, with 32% BC risk in highest 1% PRS. cell.com/ajhg/fulltext/… pic.twitter.com/zfTe2PM540
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Veera M Rajagopal @doctorveera	ಡಿಸೆಂ 13
	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 @PamelaSklar1 science.sciencemag.org/content/362/64…
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	Mike Love ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
	Ellie Murray @EpiEllie	ಡಿಸೆಂ 14
	Random thoughts about confidence intervals: When we teach precision & accuracy, we often use images of a target, like these from the Wikipedia article: en.m.wikipedia.org/wiki/Accuracy_… But I think this analogy leads to confusion about the interpretation of the confidence interval. 1/4 pic.twitter.com/8Ma7KxsHjW
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