Article

Crispr2vec: Machine Learning Model Predicts Off-Target Cuts of CRISPR systems

2020-10-29

Abstract excerpt

1 Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-Cas systems have revolutionized gene editing, with applications in therapeutics, diagnostics, agriculture, and developing disease models. However, CRISPR-Cas suffers from off-target effects — unintended genetic modifications in the genome that arise from its use. In this work, we present crispr2vec: a deep metric learning approach for embe...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 774e092f-3dd7-5c65-a3c4-dfb14441f106
DOI: 10.1101/2020.10.28.359885

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Crispr2vec: Machine Learning Model Predicts Off-Target Cuts of CRISPR systemsDOI 10.1101/2020.10.28.359885Read

Deep learning improves the ability of sgRNA off-target propensity predictionSemantic proximity Read

High-throughput evaluation of in vitro CRISPR activities enables optimized large-scale multiplex enrichment of rare variants.Semantic proximity Read

Predicting CRISPR/Cas9 Repair Outcomes by Attention-Based Deep Learning Framework.Semantic proximity Read

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data AugmentationSemantic proximity Read

Improved CRISPR/Cas9 Off-target Prediction with DNABERT and Epigenetic FeaturesSemantic proximity Read

Unveiling Off-Target Mutations in CRISPR Guide RNAs: Implications for Gene Region Specificity.Semantic proximity Read

CRISPRpred(SEQ): a sequence based tool for sgRNA on target activity prediction [(almost) beating Deep Learning pipelines by traditional machine learning]Semantic proximity Read

OPED: an optimal prime editing guide RNA designer based on deep learning and transfer learningSemantic proximity Read

Learning to quantify uncertainty in off-target activity for CRISPR guide RNAsSemantic proximity Read

Guide-specific loss of efficiency and off-target reduction with Cas9 variants.Semantic proximity Read

piCRISPR: Physically Informed Deep Learning Models for CRISPR/Cas9 Off-Target Cleavage PredictionSemantic proximity Read

Accurate prediction of CRISPR editing outcomes in somatic cell lines and zygote with few-shot learningSemantic proximity Read