Blog Archives

Genomics Case Studies Online Courses Start in Two Weeks (4/27)

April 13, 2015
By

The last month of the HarvardX Data Analysis for Genomics series start on 4/27. We will cover case studies on RNAseq, Variant calling, ChipSeq and DNA methylation. Faculty includes Shirley Liu, Mike Love, Oliver Hoffman and the HSPH Bioinformatics Core. Although taking the previous courses on the series will help, the four case study courses

Read more »

Introduction to Bioconductor HarvardX MOOC starts this Monday March 30

March 24, 2015
By

Bioconductor is one of the most widely used open source toolkits for biological high-throughput data. In this four week course, co-taught with Vince Carey and Mike Love, we will introduce you to Bioconductor's general infrastructure and then focus on two specific technologies: next generation sequencing and microarrays. The lectures and assessments will be annotated in

Read more »

π day special: How to use Bioconductor to find empirical evidence in support of π being a normal number

March 14, 2015
By
π day special: How to use Bioconductor to find empirical evidence in support of π being a normal number

Editor's note: Today 3/14/15 at some point between  9:26:53 and 9:26:54 it was the most π day of them all. Below is a repost from last year.  Happy π day everybody! I wanted to write some simple code (included below) to the test parallelization capabilities of my  new cluster. So, in honor of  π day, I

Read more »

Advanced Statistics for the Life Sciences MOOC Launches Today

March 2, 2015
By

In this four week course we will teach statistical techniques that are commonly used in the analysis of high-throughput data and their corresponding R implementations. In Week 1 we will explain inference in the context of high-throughput data and introduce the concept of error controlling procedures. We will describe the strengths and weakness of the Bonferroni correction,

Read more »

Introduction to Linear Models and Matrix Algebra MOOC starts this Monday Feb 16

February 13, 2015
By

Matrix algebra is the language of modern data analysis. We use it to develop and describe statistical and machine learning methods, and to code efficiently in languages such as R, matlab and python. Concepts such as principal component analysis (PCA) are best described with matrix algebra. It is particularly useful to describe linear models. Linear

Read more »

Data as an antidote to aggressive overconfidence

January 21, 2015
By

A recent NY Times op-ed reminded us of the many biases faced by women at work. A followup op-ed  gave specific recommendations for how to conduct ourselves in meetings. In general, I found these very insightful, but don't necessarily agree with the recommendations that women should "Practice Assertive Body Language".  Instead, we should make an effort to judge

Read more »

Gorging ourselves on "free" health care: Harvard’s dilemma

January 20, 2015
By
Gorging ourselves on "free" health care: Harvard’s dilemma

Editor's note: This is a guest post by Laura Hatfield. Laura is an Assistant Professor of Health Care Policy at Harvard Medical School, with a specialty in Biostatistics. Her work focuses on understanding trade-offs and relationships among health outcomes. Dr. Hatfield received her BS in genetics from Iowa State University and her PhD in biostatistics from the University

Read more »

Statistics and R for the Life Sciences: New HarvardX course starts January 19

January 12, 2015
By
Statistics and R for the Life Sciences: New HarvardX course starts January 19

The first course of our Biomedical Data Science online curriculum starts next week. You can sign up here. Instead of relying on mathematical formulas to teach statistical concepts, students can program along as we show computer code for simulations that illustrate the main ideas of exploratory data analysis and statistical inference (p-values, confidence intervals and

Read more »

On how meetings and conference calls are disruptive to a data scientist

December 22, 2014
By

Editor's note: The week of Xmas eve is usually my most productive of the year. This is because there is reduced emails and 0 meetings (I do take a break, but after this great week for work). Here is a repost of one of our first entries explaining how meetings and conference calls are particularly disruptive in

Read more »

Kobe, data says stop blaming your teammates

December 12, 2014
By
Kobe, data says stop blaming your teammates

This year, Kobe leads the league in missed shots (by a lot), has an abysmal FG% of 39 and his team plays better when he is on the bench. Yet he blames his teammates for the Lakers' 6-16 record. Below is a plot showing that 2014 is not the first time the Lakers are mediocre during Kobe's

Read more »


Subscribe

Email:

  Subscribe