## Keys to Success

Introduction Since becoming a postdoc at MD Anderson Cancer Center, I have had more failures than successes. Although the countless failures seemed daunting,...

Introduction Since becoming a postdoc at MD Anderson Cancer Center, I have had more failures than successes. Although the countless failures seemed daunting,...

In some of my posts, I have had trouble rendering math with MathJax. My posts that include math equations were written in R markdown. Then I used knitr to co...

What is R?

K-means is an unsupervised machine learning clustering algorithm. It can be used to cluster a set of observations based on similarity between the observation...

In this post, we will explore conditional probability and how it relates to Bayes’ Theorem.

In this post, we will be analyzing data as if we were looking at it for the first time. This is called ‘Exploratory Data Analysis’. We will visualize the dat...

What is entropy?

Gradient Descents

Principal Component Analysis

Non-negative Matrix Factorization

As a student or early-career researcher, you may have seen a trend in professional websites created by your peers. You may have wondered whether or not you, ...

In this post, I will detail how to download some raw sequence data from GEO/SRA in fastq format.

The beauty of single-cell RNA-seq is the ability to delineate the cell state of each single-cell. This brings a novel advantage when considering developmenta...

While the vignette on the Seurat website already provides good instructions, I will be using this to give additional thoughts and details that could help beg...

This is a curated collection of R educational materials for learning R. I will add more as I find them.

Principal Component Analysis

I have been working on single-cell data for almost a year now and I will be using this blog to detail what I have learned along with some tips and tricks.

In some of my posts, I have had trouble rendering math with MathJax. My posts that include math equations were written in R markdown. Then I used knitr to co...

In this post, we will explore conditional probability and how it relates to Bayes’ Theorem.

In this post, we will be analyzing data as if we were looking at it for the first time. This is called ‘Exploratory Data Analysis’. We will visualize the dat...

What is entropy?

Gradient Descents

Principal Component Analysis

Non-negative Matrix Factorization

The beauty of single-cell RNA-seq is the ability to delineate the cell state of each single-cell. This brings a novel advantage when considering developmenta...

While the vignette on the Seurat website already provides good instructions, I will be using this to give additional thoughts and details that could help beg...

This is a curated collection of R educational materials for learning R. I will add more as I find them.

Principal Component Analysis

I have been working on single-cell data for almost a year now and I will be using this blog to detail what I have learned along with some tips and tricks.

What is R?

K-means is an unsupervised machine learning clustering algorithm. It can be used to cluster a set of observations based on similarity between the observation...

In this post, we will be analyzing data as if we were looking at it for the first time. This is called ‘Exploratory Data Analysis’. We will visualize the dat...

In this post, I will detail how to download some raw sequence data from GEO/SRA in fastq format.

The beauty of single-cell RNA-seq is the ability to delineate the cell state of each single-cell. This brings a novel advantage when considering developmenta...

While the vignette on the Seurat website already provides good instructions, I will be using this to give additional thoughts and details that could help beg...

This is a curated collection of R educational materials for learning R. I will add more as I find them.

Principal Component Analysis

I have been working on single-cell data for almost a year now and I will be using this blog to detail what I have learned along with some tips and tricks.

K-means is an unsupervised machine learning clustering algorithm. It can be used to cluster a set of observations based on similarity between the observation...

What is entropy?

Gradient Descents

Principal Component Analysis

Non-negative Matrix Factorization

Principal Component Analysis

What is R?

As a student or early-career researcher, you may have seen a trend in professional websites created by your peers. You may have wondered whether or not you, ...

Here are some presentation tips that I have used over the years. This post is also for me to put down my thoughts for safekeeping.

The Ruth L. Kirschstein Predoctoral Individual National Research Service Award or the F31 is a predoctoral award that provides a stipend and some research a...