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What do the trees know.Lalehsway, sway, swaymore quotes

art: beautiful



EMBO Practical Course: Bioinformatics and Genome Analysis, 5–17 June 2017.


art + science

Bloomberg Businessweek Design Conference — San Francisco, 2013

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Design loves science and science loves design, but doesn't always know it. (Bloomberg Businessweek)

science design

Together with Alberto Cairo, I presented at the Bloomberg Businessweek Design Conference (highlights) on the topic of design and communication in the sciences.

Alberto, as the journalist, motivated why communication should include access to detail through an engaging narrative. He made the distinction between the specialist (heavy on detail) and the communicator (focus on narrative) and emphasized that the distinction is artificial, though often played out (watch video).

I, as the scientist, underscored the importance of clear communication between scientists. As the specialists, they are often very poor communicators. Pick up any science journal and you'll quickly discover that scientists either aren't good at telling stories or are discouraged to do so by the medium. The consequence is the same: papers read like a wall of text. TL;DR anyone? The quality of visual communication in general ranges from muddled to abysmal (watch video).

We need more leaders in the field, such as Nature Publishing Group, to reward and emphasize good visual communication (e.g. Nature Cancer Review 2013 Figure Calendar).

Our presentations concluded with a 15 minute moderated discussion with Sam Grobart, senior Businesssweek writer. Everyone got a little cheeky. Good fun.

presentation video

Watch: my presentation, conversation with Alberto Cairo, moderated by Sam Grobart. (Bloomberg TV), Albert Cairo's presentation.

presentation slides

This was a lightning 7 minute talk. I did more planning about what to say than I usually do, given that there was virtually no opportunity for any kind of backtracking, and include a running narrative below each slide.

Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
Martin Krzywinski - Bloomberg Businessweek Design Conference 2013
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download presentation

My slides are available as PDF, keynote (zipped) or Quicktime. The format is 16:9 HD.

Bloomberg Businessweek Design Issue

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
The reality of redesign is disruptive. How can we pursue new ideas and opportunities without leaving consumers confused or angry? Businessweek puts that question to some of the world's most accomplished designers. (Bloomberg Businessweek Design Issue)

On 28 Jan 2013, Bloomberg Businessweek Design Issue will capture the ideas from the conference and the personalities that generated them.

During the conference, each talk was captured in a series of sketches by Tom Wujec: my talk sketch and moderated discussion sketch.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Date completed: ongoing — an accurate assessment of the state of the visual communication field in science. (read article)
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news + thoughts

Snowflake simulation

Tue 14-11-2017
Symmetric, beautiful and unique.

Just in time for the season, I've simulated a snow-pile of snowflakes based on the Gravner-Griffeath model.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
A few of the beautiful snowflakes generated by the Gravner-Griffeath model. (explore)

Gravner, J. & Griffeath, D. (2007) Modeling Snow Crystal Growth II: A mesoscopic lattice map with plausible dynamics.

Genes that make us sick

Thu 02-11-2017
Where disease hides in the genome.

My illustration of the location of genes in the human genome that are implicated in disease appears in The Objects that Power the Global Economy, a book by Quartz.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
The location of genes implicated in disease in the human genome, shown here as a spiral. (more...)

Ensemble methods: Bagging and random forests

Mon 16-10-2017
Many heads are better than one.

We introduce two common ensemble methods: bagging and random forests. Both of these methods repeat a statistical analysis on a bootstrap sample to improve the accuracy of the predictor. Our column shows these methods as applied to Classification and Regression Trees.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Ensemble methods: Bagging and random forests. (read)

For example, we can sample the space of values more finely when using bagging with regression trees because each sample has potentially different boundaries at which the tree splits.

Random forests generate a large number of trees by not only generating bootstrap samples but also randomly choosing which predictor variables are considered at each split in the tree.

Krzywinski, M. & Altman, N. (2017) Points of Significance: Ensemble methods: bagging and random forests. Nature Methods 14:933–934.

Background reading

Krzywinski, M. & Altman, N. (2017) Points of Significance: Classification and regression trees. Nature Methods 14:757–758.

...more about the Points of Significance column

Classification and regression trees

Mon 16-10-2017
Decision trees are a powerful but simple prediction method.

Decision trees classify data by splitting it along the predictor axes into partitions with homogeneous values of the dependent variable. Unlike logistic or linear regression, CART does not develop a prediction equation. Instead, data are predicted by a series of binary decisions based on the boundaries of the splits. Decision trees are very effective and the resulting rules are readily interpreted.

Trees can be built using different metrics that measure how well the splits divide up the data classes: Gini index, entropy or misclassification error.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Classification and decision trees. (read)

When the predictor variable is quantitative and not categorical, regression trees are used. Here, the data are still split but now the predictor variable is estimated by the average within the split boundaries. Tree growth can be controlled using the complexity parameter, a measure of the relative improvement of each new split.

Individual trees can be very sensitive to minor changes in the data and even better prediction can be achieved by exploiting this variability. Using ensemble methods, we can grow multiple trees from the same data.

Krzywinski, M. & Altman, N. (2017) Points of Significance: Classification and regression trees. Nature Methods 14:757–758.

Background reading

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Logistic regression. Nature Methods 13:541-542.

Altman, N. & Krzywinski, M. (2015) Points of Significance: Multiple Linear Regression Nature Methods 12:1103-1104.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Classifier evaluation. Nature Methods 13:603-604.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Model Selection and Overfitting. Nature Methods 13:703-704.

Lever, J., Krzywinski, M. & Altman, N. (2016) Points of Significance: Regularization. Nature Methods 13:803-804.

...more about the Points of Significance column

Personal Oncogenomics Program 5 Year Anniversary Art

Wed 26-07-2017

The artwork was created in collaboration with my colleagues at the Genome Sciences Center to celebrate the 5 year anniversary of the Personalized Oncogenomics Program (POG).

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
5 Years of Personalized Oncogenomics Program at Canada's Michael Smith Genome Sciences Centre. The poster shows 545 cancer cases. (left) Cases ordered chronologically by case number. (right) Cases grouped by diagnosis (tissue type) and then by similarity within group.

The Personal Oncogenomics Program (POG) is a collaborative research study including many BC Cancer Agency oncologists, pathologists and other clinicians along with Canada's Michael Smith Genome Sciences Centre with support from BC Cancer Foundation.

The aim of the program is to sequence, analyze and compare the genome of each patient's cancer—the entire DNA and RNA inside tumor cells— in order to understand what is enabling it to identify less toxic and more effective treatment options.