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text-summarisation-yale is of set of scripts that bring together existing tools onto one unified platform, making it easier for you to prepare, train, evaluate and decode data.

This pipeline aims to provide unsupervised data analysis from Singlecell RNAseq data. The alignment is done with Tophat2 followed by htseqcount. After filtering, DeSeq2 and Vst are applied. Finally, the unsupervised analysis is done with WGCNA.

Python based code to quantify the graphite stacking.

Video surveillance du Fablab à l'aide d'un Raspberry pi zero W et des caméras ESP32.

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