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Testing scripts for length bias model on predicting perturbation responses

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perturbCME: Predicting Single-cell Perturbation Responses with CME Models of Transcription

Code and analysis for predicting perturbation-induced parametric changes for combinatorial perturbations. Results presented at the 2022 CSHL Biology of Genomes conference.

Scripts Directory Contents

Scripts for processing raw fastqs to obtain unspliced and spliced RNA counts, across perturbation conditions.

Notebooks Directory Contents

Notebooks for analyzing and processing the Replogle et al. 2020 Perturb-seq dataset

See here for the poster pdf.

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Testing scripts for length bias model on predicting perturbation responses

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