All Posts
2024
SwiGLU
07-29RoPE: Rotary Positional Embeddings
07-29Markov Chain Mento Carlo (MCMC) 2
06-182023
Convert Seurat to Scanpy h5ad
02-212022
Rust: Advanced Trait
02-10Bayesian Data Analysis: Basics
02-102021
Graph: Train, valid, and test dataset split for link prediction
08-12Graph: Mini-batch sampling in large-scale graphs
08-11Graph: Implement a MessagePassing layer in Pytorch Geometric
08-07Graph: Concepts
04-192020
Graph: GraphRNN
12-12Graph: GCN and GAT
12-11Graph: Semi-supervised Node Classification
12-10Graph: Node2Vec
12-06NLP: Word2Vec
12-05Probabilistic Graphical Model
11-20Deploy IGV webapp on linux server
11-16Canonical Correlation Analysis (CCA)
11-02Complex number for biologist
10-01Deploy snakemake pipeline on HPC
08-19NLP: Parse trees
08-01Fourier transform for biologist
08-01NLP: RNN and Transformers
07-31Graph: GNN review
07-26Graph: GNN basics
07-25C++ Notes: CUDA
07-11C++ Notes: Concurrency
07-10ANOVA
06-30Survival Analysis
06-22NLP: Start point for biologist
06-20Quantile normalization
06-14Power, Effect size, Sample size
06-14Multilevel (Hierachical) Models
06-13Singular Value Decomposition (SVD)
06-06Markov Chain Mento Carlo (MCMC)
06-06Swift Cheat Sheet
05-30Pointer in UnSafe Swift
05-30Boosting
05-05Hidden Markov Model (HMM)
05-03Latent semantic analysis (LSA)
04-30Probability, P-value, Likelihood
04-29Conditional random field (CRF)
04-29GATK for inbred mouse
03-10Dijkstra
02-12Prim
02-11How to do deep learning using custom Jupyter kernels on Sherlock
02-10C++ Notes: Return Pointer or Reference
02-10C++ Notes: Basics
02-10C++ Notes: STL
02-10Priority Queque
02-09Graph
02-09Sort
02-08Binary tree
02-08What is Big O
02-01Statistical Modeling and Inference
01-30Loss function for multi-label classification
01-29Expectation Maximization
01-26Derivative, Gradient, Jacobian, Hessian, Laplacian
01-26SuperFast RNA-seq
01-20Shortcut to ChIP-seq analysis
01-20Shortcut to bulk RNA-seq analysis
01-20Cheatsheet for command line
01-20