Variable expectations
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  • Akshay Balsubramani
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LNP (6)
ML (10)
cheminformatics (8)
dataviz (7)
genomics (4)
graphs (12)
statistics (5)
statmech (1)

Variable expectations

Title Categories Description Reading Time
Extracting important papers from literature LLM,LNP Sourcing literature in LNP discovery 14 min
Enabling AI in LNP drug discovery cheminformatics,LNP Virtual spaces and chemical languages 13 min
In silico fragment synthesis with combinatorial chemistry cheminformatics,LNP Revisiting LNP libraries for rational design 6 min
Sourcing structures for in silico LNP discovery cheminformatics,LNP Getting ionizable lipid structures from online catalogs 4 min
Screening too many chemicals to count cheminformatics,LNP Searching inconceivably large spaces in drug discovery 6 min
Combinatorial chemistry and in silico decompositions cheminformatics,LNP Decomposition as inverted synthesis 6 min
Making animations and gifs dataviz Stringing together plots into gifs 1 min
Lightweight, interactive QSAR importance plots dataviz,cheminformatics A self-contained visualization of atomic contributions to models 3 min
Interactive browser, part 2 dataviz,cheminformatics An interactively clustered heatmap 7 min
Building an interactive data browser dataviz,cheminformatics Lightweight, performant exploration of chemical space 9 min
Interactive browser, part 3 - subset selection and scaling dataviz,genomics Repurposing for single-cell data 10 min
Building graphs from gene sets dataviz,genomics Gene-gene graphs and the Gene Ontology 5 min
Looking up gene sets in databases dataviz,genomics Some wrapper code for gProfiler 0 min
Random projections and dimensionality reduction graphs,ML Efficient, general applied tools 9 min
Tree! I am no tree! I am an embedding! graphs,ML Hierarchies on data 8 min
From local change to global order graphs,ML Calculus on graphs as manifolds 17 min
Graph sparsification graphs,ML Removing edges while maintaining connectivity 13 min
Localized graph descriptions graphs,ML Learning an interpretable coordinate system for a dataset 4 min
Detecting motifs in networks graphs,ML Some linear algebra one-liners 4 min
Generating samples from kNN graphs graphs,ML For “stationary” signals 5 min
Graph-based semi-supervised prediction graphs,ML Harmonic analysis for learning on graphs 8 min
Constructing data-driven neighborhood graphs graphs,ML Building neighborhood graphs from datasets 12 min
Probability densities on embeddings graphs,genomics,statistics Tools for modeling distributions on data neighborhoods 8 min
SVD-based imputation methods graphs,statistics Using the SVD to perform ultra-efficient imputation 1 min
Laplacian regularization and trend filtering graphs,statistics Using graphs to regularize learning 8 min
Measuring association between variables statistics A few new coefficients 12 min
The SVD and friends statistics,ML Breaking down a (sparse) matrix quickly 11 min
Foundations of concentration and entropy statmech Where entropy comes from 10 min
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