Machine Learning: The Native Language of Biology
a year ago
- #machine-learning
- #predictive-modeling
- #biology
- Machine learning better describes biological systems than traditional math.
- Traditional math struggles with biology's complexity, dimensionality, and diversity.
- Machine learning captures non-linear, context-dependent biological relationships.
- Biology's complexity mirrors natural language, suited for machine learning.
- Transcription factors act as symbols in cellular language, similar to ML latent spaces.
- Predictive Biology focuses on predicting outcomes rather than reducing systems.
- Biological systems are messy and context-dependent, challenging traditional models.
- Machine learning enables new bioengineering possibilities like protein design.
- Hybrid approaches combining interpretability and predictive power are emerging.
- Machine learning may be the 'native language' of biology, aligning with its complexity.