Slides Machine Learning Seminar – Chair for Clinical Bioinformatics

Chair for Clinical BioinformaticsFollow

Happy that our work together with @alinaisakovaSci featuring a mouse tissue atlas of small #noncoding #RNA (#micoRNA, #tRNA, #snoRNA, ...) is now published: https://www.pnas.org/content/early/2020/09/24/2002277117

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15 Jul

Biologic & disease processes need to be viewed from an age perspective. How does your favorite gene change with age? check out Tabula Muris Senis and this App combining sc and bulkRNAseq across 10 ages https://twc-stanford.shinyapps.io/maca/ in https://rdcu.be/b5DqF and https://rdcu.be/b5DqD

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1 Jun

OK, here's a BIG one: https://bit.ly/2TVNcNW First deep sequencing of ~1,600 patients from PPMI reveals molecular patterns of non-coding RNAs in Parkinson's disease, associated with sub-types, aging, and disease progression #Parkinsons #biomarker #miRNA @MichaelJFoxOrg @TGen

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6 May

Following a very productive peer-review, we are quite happy to present our 2nd contribution to the WSI of @NAR_Open: miEAA 2.0 https://bit.ly/2WwLdQJ -> Fast enrichment analysis for >130k categories, 10 species, REST-API, case studies on cancer and Parkinson‘s @tobias_fehlmann

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4 May

Interested to see expression shifts of microRNA arms in your data set? Checkout our tool miRSwitch, which appeared in the WSI of @NAR_Open : https://bit.ly/2KTPEQ8 We also provide a reference map for 46 human tissues from 30 521 samples @tobias_fehlmann @alinaisakovaSci

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