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. 2022 Jun 5;11(11):1847. doi: 10.3390/cells11111847

Table 1.

Comparison of designs and results of CRISPR/Cas9 editing outcome prediction.

Model Cell Line(s) Indels Predicted 1 Methods 2
Apindel K562 536 classes of Deletions,
21 classes of Insertions.
GloVe + Positional Encoding
BiLSTM + Attention
CROTON K562 Deletion frequency,1 bp Insertion/Deletion,
1/2 bp Frameshift frequency,
Frameshift frequency.
CNN + NAS
Lindel HEK293T 536 classes of Deletions,
21 classes of Insertions.
Logistic Regression
SPROUT T cell 9 types statistics of the repair outcomes
such as average insertion length.
Gradient Boosting
Decision Tree
FORECasT K562, RPE1,
iPSC, CHOHAP1,
mESCs
~420 classes of Deletions,
20 classes of Insertions.
Multi-Class Logistic Regression
InDelphi HEK293, K562,
HCT116, mESCs,
U2OS
~90 classes of MH Deletion,
59 classes of Non-MH Deletion,
4 classes of 1 bp Insertion.
Deep neural
network
k-Nearest Neighbor

1 Indels predicted indicates the repair labels that can be predicted by the model. 2 Methods represents the main algorithms used by the model.