Tags
tutorial
- Using AI to find heterogeneous scientific speakers
- The many ways to calculate Moran's I for identifying spatially variable genes in spatial transcriptomics data
- Characterizing spatial heterogeneity using spatial bootstrapping with SEraster
- I use R to (try to) figure out which hospital I should go to for shoppable medical services by comparing costs through analyzing Hospital Price Transparency data
- Cross modality image alignment at single cell resolution with STalign
- Spatial Transcriptomics Analysis Of Xenium Lymph Node
- Querying Google Scholar with Rvest
- Alignment of Xenium and Visium spatial transcriptomics data using STalign
- Aligning 10X Visium spatial transcriptomics datasets using STalign with Reticulate in R
- Aligning single-cell spatial transcriptomics datasets simulated with non-linear disortions
- 10x Visium spatial transcriptomics data analysis with STdeconvolve in R
- Impact of normalizing spatial transcriptomics data in dimensionality reduction and clustering versus deconvolution analysis with STdeconvolve
- Aligning Spatial Transcriptomics Data With Stalign
- 3D animation of the brain in R
- I use R to (try to) figure out the cost of medical procedures by analyzing insurance data from the Transparency in Coverage Final Rule
- Annotating STdeconvolve Cell-Types with ASCT+B Tables
- Deconvolution vs Clustering Analysis: An exploration via simulation
- Deconvolution vs Clustering Analysis for Multi-cellular Pixel-Resolution Spatially Resolved Transcriptomics Data
- Exploring UMAP parameters in visualizing single-cell spatially resolved transcriptomics data
- Story-telling with Data Visualization
- Complementing single-cell clustering analysis with MERINGUE spatial analysis
- Randomly Generating Music with R
- Animating the Cell Cycle
- Using R To Find The Missing Faculty
- Using scVelo in R using Reticulate
- Quickly Creating Pseudobulks
- RNA Velocity Analysis (In Situ) - Tutorial and Tips
- How to write an abstract
- Figure style faux pas
- Single-Cell RNA-seq Dimensionality Reduction with Deep Learning in R using Keras
- Automate testing of your R package using Travis CI, Codecov, and testthat
- Online bargain-hunting in R with rvest
- Single Cell Clustering Comparison
- Stability Testing
- Fun With Word2vec
- Connected Barplot For Series Data Visualization
- Graph Based Community Detection For Clustering Analysis
- Machine Learning Feature Selection For Diffexp Analysis
- A Practical Introduction To Finite Mixture Models
- Custom Sequencing Library Bioinformatics
- Multiclass Diffential Expression Analysis
- How To Be A Research Parasite
- Practical Machine Learning For Everyday Life
- Mapping Snps And Peaks To Genes In R
- Identifying And Characterizing Heterogeneity In Single Cell Rnaseq Data
- Signaling Network Reconstruction Using Bayesian Networks In R
analysis
- Aligning 10X Visium spatial transcriptomics datasets using STalign with Reticulate in R
- Aligning Spatial Transcriptomics Data With Stalign
- Using scVelo in R using Reticulate
- RNA Velocity Analysis (In Situ) - Tutorial and Tips
- Single-Cell RNA-seq Dimensionality Reduction with Deep Learning in R using Keras
- Graph Based Community Detection For Clustering Analysis
- Machine Learning Feature Selection For Diffexp Analysis
- A Practical Introduction To Finite Mixture Models
- Custom Sequencing Library Bioinformatics
- Multiclass Diffential Expression Analysis
- How To Be A Research Parasite
- Practical Machine Learning For Everyday Life
- Mapping Snps And Peaks To Genes In R
- Identifying And Characterizing Heterogeneity In Single Cell Rnaseq Data
- Signaling Network Reconstruction Using Bayesian Networks In R
R
- Using AI to find heterogeneous scientific speakers
- The many ways to calculate Moran's I for identifying spatially variable genes in spatial transcriptomics data
- Characterizing spatial heterogeneity using spatial bootstrapping with SEraster
- I use R to (try to) figure out which hospital I should go to for shoppable medical services by comparing costs through analyzing Hospital Price Transparency data
- Spatial Transcriptomics Analysis Of Xenium Lymph Node
- Querying Google Scholar with Rvest
- Aligning 10X Visium spatial transcriptomics datasets using STalign with Reticulate in R
- 10x Visium spatial transcriptomics data analysis with STdeconvolve in R
- Impact of normalizing spatial transcriptomics data in dimensionality reduction and clustering versus deconvolution analysis with STdeconvolve
- Aligning Spatial Transcriptomics Data With Stalign
- 3D animation of the brain in R
- I use R to (try to) figure out the cost of medical procedures by analyzing insurance data from the Transparency in Coverage Final Rule
- Annotating STdeconvolve Cell-Types with ASCT+B Tables
- Deconvolution vs Clustering Analysis: An exploration via simulation
- Coloring SVGs in R
- Deconvolution vs Clustering Analysis for Multi-cellular Pixel-Resolution Spatially Resolved Transcriptomics Data
- Exploring UMAP parameters in visualizing single-cell spatially resolved transcriptomics data
- Animating RNA velocity with moving arrows
- A tale of two cell populations: integrating RNA velocity information in single cell transcriptomic data visualization with VeloViz
- Story-telling with Data Visualization
- Complementing single-cell clustering analysis with MERINGUE spatial analysis
- Randomly Generating Music with R
- Animating the Cell Cycle
- Using scVelo in R using Reticulate
- Quickly Creating Pseudobulks
- RNA Velocity Analysis (In Situ) - Tutorial and Tips
- Single-Cell RNA-seq Dimensionality Reduction with Deep Learning in R using Keras
- Automate testing of your R package using Travis CI, Codecov, and testthat
- Single Cell Clustering Comparison
- Get your R package on CRAN in 10 steps
- Visually Summarizing Differential Gene Expression
- Interactive Honeybadger Laf Profiles
- Interactive Tsne
- Stability Testing
- Connected Barplot For Series Data Visualization
- Graph Based Community Detection For Clustering Analysis
- Machine Learning Feature Selection For Diffexp Analysis
- A Practical Introduction To Finite Mixture Models
- Custom Sequencing Library Bioinformatics
- Multiclass Diffential Expression Analysis
- Practical Machine Learning For Everyday Life
- Mapping Snps And Peaks To Genes In R
- Identifying And Characterizing Heterogeneity In Single Cell Rnaseq Data
- Signaling Network Reconstruction Using Bayesian Networks In R
journal club
single cell
- Exploring UMAP parameters in visualizing single-cell spatially resolved transcriptomics data
- Animating RNA velocity with moving arrows
- A tale of two cell populations: integrating RNA velocity information in single cell transcriptomic data visualization with VeloViz
- Story-telling with Data Visualization
- Complementing single-cell clustering analysis with MERINGUE spatial analysis
- Animating the Cell Cycle
- Using scVelo in R using Reticulate
- Quickly Creating Pseudobulks
- RNA Velocity Analysis (In Situ) - Tutorial and Tips
- Single-Cell RNA-seq Dimensionality Reduction with Deep Learning in R using Keras
- Single Cell Clustering Comparison
- Visually Summarizing Differential Gene Expression
- Interactive Honeybadger Laf Profiles
- Interactive Tsne
- Stability Testing
- Interactive Visualizations With Highcharter
- Simpsons Paradox
- Barcode Doublets
- Identifying And Characterizing Heterogeneity In Single Cell Rnaseq Data
notes
- How to write an abstract
- Figure style faux pas
- Automate testing of your R package using Travis CI, Codecov, and testthat
- Nih F99 K00 Grant Tips Example And Personal Experience
- Get your R package on CRAN in 10 steps
- Setting Up New Server
- Phd Program Interview And Application Tips And Advice
- Nih F Series Grant Tips And Example
- Nsf Grfp Application Tips And Example
- 5 Useful Bash Aliases And Functions
- 5 Must Dos For Efficient Bioinformatics
- Custom Sequencing Library Bioinformatics
- Multiclass Diffential Expression Analysis
- How To Be A Research Parasite
- Cigar Strings For Dummies
- Lsf For Dummies
lists
- A Guide to Scientific Peer Review
- Ten PhD Transition Tips for the Biological Sciences
- Figure style faux pas
- Get your R package on CRAN in 10 steps
- Top 10 Must Use Terms To Get Your Next Nih Grant Funded
- Setting Up New Server
- 5 Useful Bash Aliases And Functions
- 5 Must Dos For Efficient Bioinformatics
machine learning
grants
advice
- A Guide to Responding to Scientific Peer Review
- A Guide to Scientific Peer Review
- Ten PhD Transition Tips for the Biological Sciences
- How to write an abstract
- Figure style faux pas
- Interactive Exploration Of The Gender Pay Gap
- Nih F99 K00 Grant Tips Example And Personal Experience
- Phd Program Interview And Application Tips And Advice
- Nih F Series Grant Tips And Example
- Nsf Grfp Application Tips And Example
career
- A Guide to Responding to Scientific Peer Review
- A Guide to Scientific Peer Review
- Ten PhD Transition Tips for the Biological Sciences
- Interactive Exploration Of The Gender Pay Gap
- Nih F99 K00 Grant Tips Example And Personal Experience
- Top 10 Must Use Terms To Get Your Next Nih Grant Funded
- Data Driven Faculty Job Search
- Nih F Series Grant Tips And Example
- Nsf Grfp Application Tips And Example
probability
statistics
artificial intelligence
computer-aided discovery
word2vec
visualization
- Animating RNA velocity with moving arrows
- A tale of two cell populations: integrating RNA velocity information in single cell transcriptomic data visualization with VeloViz
- Animating the Cell Cycle
- Figure style faux pas
- Single Cell Clustering Comparison
- Top 10 Must Use Terms To Get Your Next Nih Grant Funded
- Data Driven Faculty Job Search
- Visually Summarizing Differential Gene Expression
- Interactive Honeybadger Laf Profiles
- Interactive Tsne
- Interactive Visualizations With Highcharter
javascript
work in progress
interactive
fun
- Using AI to find heterogeneous scientific speakers
- I use R to (try to) figure out which hospital I should go to for shoppable medical services by comparing costs through analyzing Hospital Price Transparency data
- Querying Google Scholar with Rvest
- I use R to (try to) figure out the cost of medical procedures by analyzing insurance data from the Transparency in Coverage Final Rule
- Coloring SVGs in R
- Randomly Generating Music with R
- Online bargain-hunting in R with rvest
scientific communication
web scraping
spatial transcriptomics
- The many ways to calculate Moran's I for identifying spatially variable genes in spatial transcriptomics data
- Characterizing spatial heterogeneity using spatial bootstrapping with SEraster
- Cross modality image alignment at single cell resolution with STalign
- Spatial Transcriptomics Analysis Of Xenium Lymph Node
- Alignment of Xenium and Visium spatial transcriptomics data using STalign
- Aligning 10X Visium spatial transcriptomics datasets using STalign with Reticulate in R
- Aligning single-cell spatial transcriptomics datasets simulated with non-linear disortions
- 10x Visium spatial transcriptomics data analysis with STdeconvolve in R
- Impact of normalizing spatial transcriptomics data in dimensionality reduction and clustering versus deconvolution analysis with STdeconvolve
- Annotating STdeconvolve Cell-Types with ASCT+B Tables
- Deconvolution vs Clustering Analysis: An exploration via simulation
- Deconvolution vs Clustering Analysis for Multi-cellular Pixel-Resolution Spatially Resolved Transcriptomics Data
- Exploring UMAP parameters in visualizing single-cell spatially resolved transcriptomics data
- Story-telling with Data Visualization
- Complementing single-cell clustering analysis with MERINGUE spatial analysis
dataviz
bioinformatics
RNA velocity
health insurance
python
- Cross modality image alignment at single cell resolution with STalign
- Alignment of Xenium and Visium spatial transcriptomics data using STalign
- Aligning 10X Visium spatial transcriptomics datasets using STalign with Reticulate in R
- Aligning single-cell spatial transcriptomics datasets simulated with non-linear disortions
- Aligning Spatial Transcriptomics Data With Stalign