Sam Neaves
@samwalrus
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RT @tangming2005: 1/ You launched a long-running program. And forgot to use screen or tmux. Now you're terrified to close your terminal….
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RT @TheLancet: Parkinson's disease is the second most common neurodegenerative disease. A recent study investigated whether the GLP-1 rece….
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RT @BioMedCentral: A Review published in Translational Neurodegeneration explores the connection between Parkinson’s disease and abnormal g….
translationalneurodegeneration.biomedcentral.com
Parkinson's disease (PD) is the second most common neurodegenerative disorder. PD patients exhibit varying degrees of abnormal glucose metabolism throughout disease stages. Abnormal glucose metabol...
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RT @strnr: 🦋 for Science. Starter packs for genomics, bioinformatics, #Rstats, Nextflow. Moderation lists. Feeds. Let's rebuild the old sci….
blog.stephenturner.us
Bluesky starter packs for genomics, bioinformatics, R, and Nextflow
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RT @TheTuringPost: In one of our first "A path towards AGI" posts we discussed Neuro-symbolic systems. Here's a new example of their imple….
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RT @tangming2005: Moving to a World Beyond “p < 0.05”
tandfonline.com
Published in The American Statistician (Vol. 73, No. sup1, 2019)
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RT @strnr: At the @nextflowio summit @EvanFloden & @SashaDagayev demonstrating @SeqeraLabs AI ( for writing Nextfl….
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RT @tangming2005: scplotter provides a set of functions to visualize single-cell sequencing data in an easy and efficient way. https://t.co….
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RT @stevesphd: "Common pitfalls in drug target Mendelian randomization and how to avoid them" published at @BMCMedicine and led by @dpsg108….
link.springer.com
Background Drug target Mendelian randomization describes the use of genetic variants as instrumental variables for studying the effects of pharmacological agents. The paradigm can be used to inform...
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RT @BockLab: 🗨️ WANNA TALK TO YOUR CELLS? Try out CellWhisperer – our new multimodal AI that turns single-cell RNA-seq analysis into a conv….
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RT @tangming2005: Cancer cell states: Lessons from ten years of single-cell RNA-sequencing of human tumors
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RT @tangming2005: Transformers in single-cell omics: a review and new perspectives
nature.com
Nature Methods - This Perspective presents a comprehensive and in-depth overview of computational models based on the deep learning architecture of transformers for single-cell omics analysis.
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RT @OpenTargets: Out now in @AnnualReviews!. We share our perspective on using human genetics for drug target identification, with examples….
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RT @tangming2005: ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipp….
biorxiv.org
In typical single-cell RNA-seq (scRNA-seq) data analysis, a clustering algorithm is applied to find putative cell types as clusters, and then a statistical differential expression (DE) test is used...
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RT @fperrywilson: Data keeps emerging that suggests GLP-1RAs like #Ozempic curb all sorts of appetites. not just appetite for food. Brie….
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RT @RyanDhindsa: Excited to share our latest paper, where we describe ITSN1 as a novel risk gene for Parkinson's disease!. We found that ra….
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RT @prmshra: GO annotations are associations between gene products and GO terms. These come with evidence codes indicating the basis for th….
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RT @billyuchenlin: A week ago, I posted that I was cooking a logical reasoning benchmark as a side project. Now it's finally ready! Introdu….
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RT @tangming2005: Revealing gene function with statistical inference at single-cell resolution
nature.com
Nature Reviews Genetics - Single-cell, spatial and multi-omic profiling technologies generate large-scale data that reveal the output of genome-scale experiments across diverse cells, tissues and...
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