Detailed illustration of how modelling of bulk transcriptomic data (Custom Affymetrix HTA & no not random WGCNA) provides information about rare cell types (<1% of bulk) @MACleod_JC studies long noncoding RNAs during muscle hypertrophy - 90% missed by illumina bulk RNAseq @thermofisher Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling

25% of the Gazans want extreme violence against Israel & support Hamas (DOWN on historical highs) while 50% want dissolution of Israel. So much for Gaza representing a peaceful population with just a handful of terrorists. Baked in antisemitism.

Ireland’s President has shamed his nation. Most antisemitic? Maybe not, but a disgrace none the less

More crap journalism: How can it be a blow to Alzheimer’s patients if the drug delivers no real benefit and removes resources from the NHS services? What use false hope to families either?

True.

RT @tangming2005: 4/ Unfortunately, it’s becoming harder to find bioinformaticians who can double-check results, question their data, and s…

RT @tangming2005: 2/ Working with bio data isn’t always about fancy models. It’s often about handling messy real-world data—doing quality c…

RT @tangming2005: 1/ It feels like basic bioinformatics skills aren’t getting enough love anymore. Everyone’s talking about their deep lear…

RT @Nature: Nearly three-quarters of biomedical researchers think there is a reproducibility crisis in science

@Dima_Khatib retard.

Given T2DM increases with time/age, what is a genetic control for such a study? 🙃

@simocristea If we consider their intended purpose, failure in n=1 setting means they are fundamentally useless. None of them have revealed any biology, and they are often applied in settings where they aren't valid (cell culture). Largely a scam since 2013....

@MWeintraubMD @JialiangLiang Firstly it's whole body DXA, not direct muscle mass (which would be protected from loss if provided supervised RT). Secondly the 0-3kg loss is a few % of total "lean mass" in this group. Unclear if any problem here. The 10yr on/off GLP1RA study required - who's funding?

RT @nicolelampert: I’ve been a journalist all my working life and I love my fellow journalists. But I have to ask, what the hell is going…

RT @fake_journals: Finland Publication Forum will downgrade hundreds of Frontiers and MDPI journals | @RetractionWatch |

RT @OxygenIvan: @RetractionWatch Double edged sword. Too much pressure in this direction and we’ll get more of what we already have (at lea…

RT @Mr_Andrew_Fox: They’ve been lying to you for 14 months with their willing NGO and media friends. Fake starvation, fake injury videos,…

RT @metapredict: Weird associations & failure to accept data are so susceptible to reverse causation it's another example of exaggerated cl…

@simocristea We have clues from medical imaging - billions of data points per topic. lucky if we have a few thousand assays for a subset of kinase inhibitors (public). A few million for a relatively narrow range of targets across industry (assuming assays used predictive of disease efficacy)

@simocristea Yes, as a recent CAD PRS study, using a dozen or so strongly validated models (>AUC) individually could place each person into high, medium or low risk at random. Ie cohort level statistics wasn't informative at n=1....

RT @simocristea: @metapredict my point is that it's still very early