https://mailchi.mp/add7f814b67d/neurodevelopments-720229
https://www.libd.org/neurodevelopments/
the Lieber’s neuroDEVELOPMENTS newsletter, which features the PsychENCODE paper
prediction markets
https://www.predictit.org/
February 13, 2019
Q&A With Mark B. Gerstein, PhD, on Diagnostic Genomic vs Exomic Sequencing Bryant Furlow
https://www.cancertherapyadvisor.com/home/cancer-topics/general-oncology/qa-with-mark-b-gerstein-phd-on-diagnostic-genomic-vs-exomic-sequencing/
WORKS IN PROGRESS – SPRING 2019
Decoding DNA
On the hunt for the genetic roots of mental illnesses
By Marcus Banks | March 4, 2019
QT:[[”
The model, a form of artificial intelligence, aims to use abstract knowledge gained in the research lab to improve clinical treatments for real patients. The ultimate goal, says Gerstein, is to use the model to develop pharmaceutical treatments that reduce the impact of schizophrenia. Part of the challenge in developing drugs to treat the disease is the fact that it is not a one-size-fits-all condition. “]]
QT:[[”
the launch of the NIST Privacy Engineering Collaboration Space! The collaboration space is an online venue open to the public where practitioners can discover, share, discuss, and improve upon open source tools, solutions, and processes that support privacy
engineering and risk management. We have launched the space with a focus on de-identification and privacy risk management tools and use cases, gathered via GitHub for collaboration purposes.
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https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space
A lineage-resolved molecular atlas of C elegans embryogenesis at #singlecell resolution, w/ @JIsaacMurray, @JunhyongKim, @ColeTrapnell & B Waterston https://www.BiorXiv.org/content/10.1101/565549v1 Compares the known cell lineage of the worm to trees based on UMAP cell-type clusters. Remarkable agreement
Using single-cell combinatorial indexing, we profiled the
transcriptomes of around 2 million cells derived from 61 embryos staged between 9.5 and 13.5 days of gestation, in a single experiment.
QT:[[”
“The authors describe and validate a citation-based index of ‘disruptiveness’ that has previously been proposed for patents6. The intuition behind the index is straightforward: when the papers that cite a given article also reference a substantial proportion of that article’s references, then the article can be seen as consolidating its scientific domain. When the converse is true — that is, when future citations to the article do not also acknowledge the article’s own intellectual forebears — the article can be seen as disrupting its domain.
The disruptiveness index reflects a characteristic of the article’s underlying content that is clearly distinguishable from impact as conventionally captured by overall citation counts. For instance, the index finds that papers that directly contribute to Nobel prizes tend to exhibit high levels of disruptiveness, whereas, at the other extreme, review articles tend to consolidate their fields.”
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