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Tango is a sad thought that is danced.Enrique Santos Discépolothink & dancemore quotes

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


art + literature

daily quotation server archives

In the late 90’s I started (a good decade for starts) a daily quotation server project at www.quoteserver.ca. The domain is now defunct—some pages are partially viewable at the Way Back Machine.

Below is the list of quotes I had collected by the end of the life of the project. Most are about love—duh—and a few are jolly jests from funny trenches. You know, that place where mustard gas makes your eyes water.

The quotes weren’t scraped from quote archives—each is meaningful and hand-picked.

the quote archive

And now for full list of 1,600 other things worth reading. Such as everything Dorothy Parker has written and ... yes, even the Pinky and Brain quotes, which are a special kind of special.

Quote collections about love, heart, desire, life, death, god, mind, science.

Feeling lucky? Read 10 random quotes. Well, will you, punk?

Quotes about mind

21
Shall any gazer see with mortal eyes,
Or any seeker know by mortal mind?
Veil after veil will lift — but there must be
Veil upon veil behind.
Sir Edwin Arnold
The Light of Asia, VIII
36
The mind has a thousand eyes,
And the heart but one;
Yet the light of a whole life dies,
When love is done.
Francis Bourdillon
Light
166
I don’t mind sleeping on an empty stomach provided it isn’t my own.
Philip J. Simborg
286
All life is a struggle in the dark ... This dread and
darkness of the mind cannot be dispelled by the
sunbeams, the shining shafts of day, but only by
an understanding of the outward form and inner
workings of nature. And now to business,
I will explain ...
Lucretius
On the Nature of the Universe
345
Serious error.
All shortcuts have disappeared.
Screen. Mind. Both are blank.
A Haiku computer error message.
390
Friendship is almost always the union of a part of one mind with a part of another; people are friends in spots.
George Santayana
414
And, while with silent, lifting mind I’ve trod
The high untrespassed sanctity of space,
Put out my hand, and touched the face of God.
John Gillespie Magee, Jr.
437
A mind is like a parachute; it only works when it is open.
Sir James Dewar
444
Tact is the ability to tell a man he has an open mind when he has a hole in his head.
450
Get your mind out of the gutter—it’s blocking my view.
488
In the beginner’s mind there are many possibilities, but in the expert’s mind there are a few.
Shunryu Suzuki
612
There is a lady sweet and kind,
Was never a face so pleased my mind;
I did but see her passing by,
And yet I love her till I die.
617
With women the heart argues, not the mind.
Matthew Arnold
Merope, 1.341
674
In every cry of every Man,
In every Infants cry of fear,
In every voice: in every ban,
The mind-forg’d manacles I hear.
William Blake
London
696
Measure your mind’s height by the shade it casts.
Robert Browning
Paracelsus, pt. iii, i.363
708
I do not mind lying but I hate inaccuracy.
Samuel Butler
Note Books
743
That out of sight is out of mind
Is true of most we leave behind.
Arthur Hugh Clough
Songs in Absence, That Out of Sight
866
Beauty in things exists in the mind which contemplates them.
David Hume
Of Tragedy
871
Some experience of popular lecturing had convinced me that the necessity of making things plain to uninstructed people was one of the very best means of clearing up the obscure conrners in one’s own mind.
T.H. Huxley
Man’s Place in Nature
965
A fanatic is one who can’t change his mind and won’t change the subject.
Winston Churchill
983
Dans les champs de l’observation le hasard ne favorise que les esprits prepares.
[Where observation is concerned, chance favours only the prepared mind.]
Louis Pasteur
1137
Years steal
Fire from the mind as vigor from the limb,
And life’s enchanted cup but sparkles near the brim.
Lord Byron
Childe Harold’s Pilgrimage
1182
This have I known always: Love is no more
Than the wide blossom which the wind assails,
Than the great tide that treads the shifting shore,
Strewing fresh wreckage gathered in the gales:
Pity me that the heart is slow to learn
What the swift mind beholds at every turn.
Edna St. Vincent Millay
Sonnets, xxix
1195
I know a man that’s a braver man
And twenty men as kind,
And what are you, that you should be
The one man in my mind?
Edna St. Vincent Millay
The Philosopher
1317
Her mind lives tidily, apart
From cold and noise and pain,
And bolts the door against her heart,
Out wailing in the rain.
Dorothy Parker
Interior
1508
Nothing contributes so much to tranquilizing the mind as a steady purpose—a point on which the soul may fix its intellectual eye.
Mary Wollstonecraft Shelley
1547
So the old tunes float in my mind,
And go from me leaving no trace behind,
Like fragrance borne on the hush of the wind.
but in the instant the airs remain
I know the laughter and the pain
Of times that will not come again.
Sara Teasdale
Old Tunes
1584
Remember me and beare in mind
A truthful friend is hard to find
The path of sorrow and that alone
Leads to a place where sorrow is unknown.
Anna Bowman
Autograph Albums and Bible of Ella Beaver Calhoun
1634
Something made of nothing, tasting very sweet,
A most delicious compound, with ingredients complete;
But if, as on occasion, the heart and mind are sour,
It has no great significance, and loses half its power.
Mary. E. Buell
The Kiss
VIEW ALL

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.