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Gaetan Burgio proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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How long this one will be retracted? Certainly significantly more time than the HIV and
#2019n_CoV paper.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Well, we spent the last few days discussing on non peer reviewed
#preprints & spread of conspiracy theories. Well, should we discuss too the spread of conspiracy theories based on@NEJM paper on asymptomatic cases of#coronavirus?https://www.sciencemag.org/news/2020/02/paper-non-symptomatic-patient-transmitting-coronavirus-wrong …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gaetan Burgio proslijedio/la je Tweet
More comments/commenters on
#preprints, please. Would very much help reporters trying to cover one (or, equally important, explaining to editors why we don't think that's a good idea).https://twitter.com/GaetanBurgio/status/1224454229076533248 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In short this shows that Post publication peer review (PPPR) works very well. Of course the screening process is not perfect but PPPR enables rapid correction and of the scientific literature. I would argue we don't comment enough on BioRxiv and we should do more.
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What I like in this instance is within hours the preprint was identified as flawed, we commented and the day after the paper was retracted. All transparent and many of us (70 comments), not just 2 anonymous reviewers could comments on this on BiorXiv site or Twitter
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And once it is published, it takes weeks, months or years to get retracted See in the CRISPR field it took over a year to retract this paper making insane claims https://www.nature.com/articles/nmeth.4293 … or than one full of duplications took few weeks to get retractedhttps://twitter.com/GaetanBurgio/status/1053948520535707648 …
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Besides the Wakefield paper on Vaccination & Autism, we don't need to go that far to find papers with insane claims published after thorough peer reviews For example the 2019-nCov paper and snake is still there
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colleagues argue that this preprint would never have been published in a peer-review journal and I strongly disagree with the statement. The more outrageous and insane the claim is, better chance it will get published in high impact journal and there are tones of examples
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I agree with the piece. The quick retraction of the "uncanny"
#coronavirus paper shows that peer review on#preprints works, in fact in my view much better than the current system based on 2-3 anonymous peer-reviewers prior to publicationhttps://www.statnews.com/2020/02/03/retraction-faulty-coronavirus-paper-good-moment-for-science/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A nice paper on the identification of the major siderophore in Pseudomonas PvdS as a regulator of Type I-F
#CRISPR acquisition system, CRISPR interference and HGT by binding to a consensus sequence in Cas1 promoter. Nice ! https://www.biorxiv.org/content/10.1101/2020.01.31.929752v1 …pic.twitter.com/RZOY2I5RFP
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colleagues medical researchers in Australia. If you wish to participate to the
#MRFF grant review panel for the#NHMRC on behalf of the Department of Health. Here is your chance ! https://www.nhmrc.gov.au/2019-20-medical-research-future-fund-mrff-grant-opportunities …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"'An excuse for racism': Chinese international students are in limbo and they are angry" This article outlines some serious issues with racism exacerbated by
#Coronarivus outbreakhttps://www.abc.net.au/news/2020-02-03/coronavirus-has-stranded-chinese-international-students/11923364 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We finally made series of recommendations on the use of
#MachineLearning for#CRISPR experiments going forward. Please feel free to read our paper. It is in#openaccess and please feel free to download it.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
And of course, a very important aspect is the choice of the
#MachineLearning algorithm for a#CRISPR experiment. Well it depends a lot on the type of experiment, the size of the training dataset and so on.pic.twitter.com/UCMsymzmUz
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Next is how to translate your features from a
#CRISPR experiment into a#MachineLearning readable features. Well this involves tokenizationpic.twitter.com/i0j29MbF43
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Another aspect we discuss is the features to include into
#MachineLearning Algorithm. Do we use only guideRNA sequence, nucleotide composition at target site, epigenetic information... How many features to define? Well largely depends on your training dataset.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A crucial aspect we discussed is data labelling. What is the size of the training dataset? how to define the features for the training model? how to label it & avoid the major pitfall, which is the unbalanced training dataset. Well, the details are in the paper.
pic.twitter.com/hhHbZoqCzu
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This paper is primarily for
#CRISPR researchers rather than computational biologists expert in#MachineLearning because well, there is a lot going on in this space and it is very easy to be lost with the terminology and ML algorithms if you are not familiar with MLPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Delighted to share our first 2020 publication lead by
@aydun1 & with my long standing collaborator & corresponding author@allPowerde on the use of#MachineLearning to design#CRISPR gene editing experiments for Briefings in Bioinformatics@OxfordJournals https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz145/5719541 …pic.twitter.com/pmlxdvDN6g
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