How to Deploy and Interpret AlphaFold2 with Minimal Compute
Use Alphafold2 with limited computational resources- 24374Murphy ≡ DeepGuide
Scientists are approaching the first near-atomic simulations of whole cells
After the impact of AI on biology, this could represent another milestone, this time rooted in pure physics- 22642Murphy ≡ DeepGuide
"ML-Everything"? Balancing Quantity and Quality in Machine Learning Methods for Science
The need for proper validations and good datasets, objective and balanced, and that predictions be useful in realistic scenarios.- 26994Murphy ≡ DeepGuide
Two New Papers Analyze in Detail the Protein Universe Unveiled by AlphaFold 2's 200 Million Mo
And they had to create new tools to handle such large volume of protein structural models- 29367Murphy ≡ DeepGuide
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
[] The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing genomics by enabling th- 25648Murphy ≡ DeepGuide
Google's AI Companies Strike Again: AlphaFold 3 Now Spans Even More of Structural Biology
Deepmind and Isomorphic labs just published a new paper that applies new AI concepts and methods to create a new tool that promises to be...- 21604Murphy ≡ DeepGuide
"Sparks of Chemical Intuition"-and Gross Limitations!-in AlphaFold 3
Observations after 3 weeks of DeepMind releasing its hitherto most advanced model for biomolecular structure prediction.- 25045Murphy ≡ DeepGuide
AlphaFold 2 Through the Context of BERT
Understanding AI applications in bio for machine learning engineers- 26395Murphy ≡ DeepGuide
How AlphaFold 3 Is Like DALLE 2 and Other Learnings
Understanding AI applications in bio for machine learning engineers- 20789Murphy ≡ DeepGuide
Watermarking for AI Text and Synthetic Proteins: Fighting Misinformation and Bioterrorism
Understanding AI applications in bio for machine learning engineers- 22035Murphy ≡ DeepGuide
Graph Neural Networks: Fraud Detection and Protein Function Prediction
Understanding AI applications in bio for machine learning engineers- 20988Murphy ≡ DeepGuide
Reinforcement Learning: Self-Driving Cars to Self-Driving Labs
Understanding AI applications in bio for machine learning engineers- 29551Murphy ≡ DeepGuide
Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
How natural systems fundamental laws help explain AI's unexpected abilities- 26873Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag