DeepSEA
基于深度卷积神经网络的 DNA 序列功能预测方法，直接从序列预测染色质特征 和变异的功能效应。该方法开创了基于深度学习的序列功能预测领域，是 基因组学深度学习的经典模型。
| Property | Value |
|---|---|
| Purpose | 基于深度学习的 DNA 序列功能预测 |
| Time Complexity | O(n * d) |
| Space Complexity | O(d) |
| Year | 2015 |
| Difficulty | Intermediate |
| Languages | Python |
| Category | Protein Language Model |
Complexity Analysis
- Time Complexity:
O(n * d) - Space Complexity:
O(d)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
Basset · DanQ · Enformer
Tags
deep-learning functional-prediction chromatin variant-effect