Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features
Presented at IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), 2026
Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features
Published at IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2026, pp. 458-461.
This work studies ASO efficacy prediction using sequence, structural, and off-target features.
Recommended citation: George, Ava; Bai, Yu; Tang, Jialin. (2026). “Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features.” IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 458-461.
Recommended citation: George, Ava; Bai, Yu; Tang, Jialin. (2026). "Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features." IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 458-461.
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