📚 Tried building Super Learner from scratch to understand what’s happening under the hood. Walked through the NNLS algorithm step-by-step—turns out ensembling models may beat solo models! Our homegrown version? Surprisingly close to nnls package results ❤️ But, does it really work in real life? 🤷♂️
Finally understood TMLE’s “doubly robust” property through simulation. Works well when either outcome OR treatment model is correct. XGBoost + TMLE captured complex relationships without manual specification. But beware the confidence intervals - Frank Harrell was right to say “prepare to be disappointed!” 🤔
IDWeek2025 had the lowest post count since 2022 (1,272 posts). While top posters shifted to Bluesky, X remained on par—the key difference was engagement rates favoring Bluesky. Grateful to learn so much from our SoMe community! 📊💙🙏
Ever wondered what M184V, K65R actually mean? I learnt it from rebuilding Stanford’s HIV resistance algorithm from scratch to find out. Spoiler: it took tons of code to match their 3-line tool. But the lesson was worth it. We went from agreement of 89% to 99.8% after different methods of alignment
Learned RNA-seq workflow using C. difficile data from a published study 🧬. Processed raw reads through fastp → kallisto → DESeq2 -> GSEA pipeline. Results matched the original paper’s findings, with clear differential expression between mucus and control conditions 📊.