Nikolay OskolkovinTowards Data ScienceUMAP Variance ExplainedA simple way to interpret UMAP components·19 min read·Mar 27, 2023--5--5
Nikolay OskolkovinTowards Data ScienceWhy PCA Looks TriangularOften in computational biology·15 min read·Jun 4, 2022--4--4
Nikolay OskolkovinTowards Data ScienceDeep Learning on Human MicrobiomeInfer microbial composition of a sample from DNA sequences·13 min read·Aug 18, 2021--4--4
Nikolay OskolkovinTowards Data SciencePlague in Ancient and Modern DNAHow you can find Yersinia pestis pathogen in any random sample·8 min read·Apr 2, 2021--2--2
Nikolay OskolkovinTowards Data ScienceGenomics New ClothesHow the Curse of Dimensionality complicates Genetics research·13 min read·Feb 11, 2021----
Nikolay OskolkovinTowards Data ScienceUnivariate vs. Multivariate PredictionDESeq2 vs. LASSO predictive capacity on gene expression·10 min read·Jan 6, 2021--1--1
Nikolay OskolkovinTowards Data ScienceUMAP for Data IntegrationGraph-based Single Cell Omics integration with UMAP·10 min read·Oct 13, 2020--4--4
Nikolay OskolkovinTowards Data ScienceMaximum Likelihood (ML) vs. REMLLinear Mixed Model via Restricted Maximum Likelihood (REML)·8 min read·Sep 9, 2020--4--4
Nikolay OskolkovinTowards Data ScienceLinear Mixed Model from ScratchDerive and code LMM using Maximum Likelihood·12 min read·Aug 11, 2020--5--5
Nikolay OskolkovinTowards Data ScienceHow Linear Mixed Model WorksAnd how to understand LMM through Bayesian lenses·12 min read·Aug 3, 2020--8--8