Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem

Kushal Badal, Letu Qingge, Xiaowen Liu, Binhai Zhu

Research output: Contribution to journal › Article

Original language	English
Journal	The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), Springer Nature Singapore
State	Published - 2024

Cite this

@article{469e466d4e324afa868c5e7b814e736d,

title = "Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem",

author = "Kushal Badal and Letu Qingge and Xiaowen Liu and Binhai Zhu",

year = "2024",

language = "English",

journal = "The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), Springer Nature Singapore",

}

TY - JOUR

T1 - Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem

AU - Badal, Kushal

AU - Qingge, Letu

AU - Liu, Xiaowen

AU - Zhu, Binhai

PY - 2024

Y1 - 2024

M3 - Article

JO - The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), Springer Nature Singapore

JF - The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), Springer Nature Singapore

ER -