Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/176393
Title: Exploration of explainable artificial intelligence methods on chromatin interactions neural network
Authors: Tan, Caken
Keywords: Computer and Information Science
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Tan, C. (2024). Exploration of explainable artificial intelligence methods on chromatin interactions neural network. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176393
Abstract: Explainable Artificial Intelligence (XAI) in analyzing chromatin interactions using the Chromatin Interactions Neural Network (ChINN). The study aims to enhance the interpretability of neural networks in genome biology, focusing on ChINN (Chromatin Interactions Neural Networks).
URI: https://hdl.handle.net/10356/176393
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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