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George C. Linderman proslijedio/la je Tweet
Risk models can predict death or stroke after ACS, but do not perform well for *all* patients. Stultz Lab
@MIT,@IBMResearch, &@UMassMedical developed “unreliability score” to determine if model’s results can be trusted for given patient https://www.nature.com/articles/s41746-019-0209-7 … cc@EricTopolpic.twitter.com/tE0BXnJbfs
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George C. Linderman proslijedio/la je Tweet
The surgeon’s hand is visibly trembling. The scalpel’s blade glints as it catches the light. I’m a medical student, scrubbed in on the case. I’m not going into surgery, I know that. I’m here for him. He glances at me and notices I’m holding my breath. He grins. “Relax.” 1/
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George C. Linderman proslijedio/la je Tweet
Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!https://blog.google/products/search/discovering-millions-datasets-web/ …
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George C. Linderman proslijedio/la je Tweet
Check out the paediatric intensive care (PIC) database - 12,000 patients admitted from 5 ICUs in China - all publicly available!https://www.nature.com/articles/s41597-020-0355-4 …
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George C. Linderman proslijedio/la je Tweet
Great to see our heart failure GWAS paper published in Nature Communications today (https://www.nature.com/articles/s41467-019-13690-5 …) - a huge effort from a brilliant team of collaborators providing insights into the genetic architecture of heart failure.
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George C. Linderman proslijedio/la je Tweet
The predictive power of the microbiome exceeds that of genome-wide association studies in the discrimination of complex human diseasehttps://www.biorxiv.org/content/10.1101/2019.12.31.891978v1 …
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George C. Linderman proslijedio/la je Tweet
Sir William Osler, the father of modern medicine, died on this day 100 years ago. In his honor, I'm posting some of his memorable quotes. First set on the practice of medicinepic.twitter.com/ZsKGBW0EHg
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George C. Linderman proslijedio/la je Tweet
Earlier this month, I went to
#ML4H2019 at NeurIPS. The talks were recorded, which is amazing. But I know you aren't going to watch 6 hours of video. Maybe you'll read 40 minutes of summary, though!#MachineLearning#healthcarehttps://willieboag.wordpress.com/2019/12/27/ml4h-2019-machine-learning-for-health/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
George C. Linderman proslijedio/la je Tweet
Bayesian methods are *especially* compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization, not the prior, or Bayes rule. This difference will be greatest for underspecified models like DNNs. 1/18https://twitter.com/carlesgelada/status/1208618401729568768 …
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George C. Linderman proslijedio/la je Tweet
This is a powerful example of how rigorously elucidating the molecular basis of a disease can change people’s lives and end suffering. Our scientific director Dan Kastner is a pioneer in the field of autoinflammatory diseases and his group continues to do breakthrough research.https://twitter.com/genome_gov/status/1209146253810028545 …
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George C. Linderman proslijedio/la je Tweet
Interested in statistical models for scRNA-seq? Happy holidays! Two papers in
@GenomeBiology: * GLM-PCA from@sandakano and@rafalab: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1861-6 … * Our sctransform package (by Christoph Hafemeister) for normalization and variance stabilization:https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1874-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Many thanks to Becht et al. for sharing their code and data. This is what open science is all about.
@EtienneBecht@leland_mcinnes@EvNewell1.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
UMAP is often said to be superior to t-SNE because it is better at preserving global distances. Dmitry and I showed that this is because by default, t-SNE initializes randomly whereas UMAP initializes with Laplacian eigenmaps.https://twitter.com/hippopedoid/status/1207999178015727616 …
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George C. Linderman proslijedio/la je Tweet
Very excited to share our new preprint describing a method for ultra-high throughput single-cell RNA-seq https://www.biorxiv.org/content/10.1101/2019.12.17.879304v1 …
#scRNAseqpic.twitter.com/iROFp3wDMJ
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George C. Linderman proslijedio/la je Tweet
"The art of using t-SNE for single-cell transcriptomics" by
@CellTypist and myself was published two weeks ago: https://www.nature.com/articles/s41467-019-13056-x …. This is a thread about the initialisation, the learning rate, and the exaggeration in t-SNE. I'll use MNIST to illustrate. (1/16)pic.twitter.com/FY3dzLn2fd
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George C. Linderman proslijedio/la je Tweet
I'll start: - SR article about deep learning vs health care professionals: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(19)30123-2/fulltext … - This RCT baseline imbalance blog article: https://medium.com/@darren_dahly/out-of-balance-9021fd636d88 … - This article about the big data paradox (technically 2018, but found it this year): https://projecteuclid.org/euclid.aoas/1532743473 …
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Are there any compelling examples of studies which controlled for a measured confounder (e.g. using regression), but because the model's assumptions were not met, the confounding was not controlled and an incorrect conclusion was reached?
#StatTwitter#EpiTwitter#MedTwitterHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
George C. Linderman proslijedio/la je Tweet
Thrilled to be a part of this project: "Single-cell connectomic analysis of adult mammalian lungs." Congrats
@msbr89 and team (@KaminskiMed,@jonas_schupp,@GCLinderman,@SergioPoli et al.)--beautiful work!https://twitter.com/msbr89/status/1202641579686666241 …
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George C. Linderman proslijedio/la je Tweet
One of the first ideas I had the privilege to work on during my PhD is published! CHECK IT OUT: https://advances.sciencemag.org/content/5/12/eaau9630 … In a philosophical sense, think of this as a new, data-driven way to figure out how similar two observations are to each other!!pic.twitter.com/q7MyRTAv6d
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George C. Linderman proslijedio/la je Tweet
One other important aspect, regardless of sample size, is the ethical advantage of increasingly randomizing more people to best scenario arms. This is, IMHO, a very compelling argument that should be more emphasized for clinicians 1/
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