Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences

• Main Authors: Cao, Fan, Zhang, Yu, Cai, Yichao, Animesh, Sambhavi, Zhang, Ying, Akincilar, Semih Can, Loh, Yan Ping, Li, Xinya, Chng, Wee Joo, Tergaonkar, Vinay, Kwoh, Chee Keong, Fullwood, Melissa J
• Other Authors: CANCER SCIENCE INSTITUTE OF SINGAPORE
• Format: Article
• Language: English
• Published: BMC 2021
• Subjects: Science & Technology; Life Sciences & Biomedicine; Biotechnology & Applied Microbiology; Genetics & Heredity; Machine learning; 3D genome organization; Chromatin interactions; ChIA-PET; Hi-C; DNA sequence; Leukemia; Bioinformatics; READ ALIGNMENT; CTCF; GENOME; EXPRESSION; ORGANIZATION; PRINCIPLES; SURROGATE; TOPOLOGY; DOMAINS; MARKERS
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/207756
• Institution: National University of Singapore

10.1186/s13059-021-02453-5