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CSHL Stories and Media archive for Tag: big data

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Building on 150 years of neuroanatomy

10/7/2021

Learn more about how researchers reached a milestone in a years-long effort to catalog the cells of the human, mouse, and monkey brains. Read the story »

Think a census of humans is hard? Try counting their brain cells!

10/6/2021

CSHL researchers and other collaborators reached a milestone in a years-long effort to catalog the cells of the human, mouse, and monkey brains. Read the story »

illustration of a slice of a mouse brain

qBrain: Mapping out brain similarities and differences

8/20/2021

CSHL researchers developed qBrain, a technique that automates complete brain-wide analyses. Read the story »

Using “guilt by association” to classify cells

7/14/2021

Using a new computational statistics tool, CSHL researchers classify cells to understand how an organism functions. Read the story »

3D illustration of DNA molecules with binary code

Solving genetic disease puzzles with quantitative biology

6/17/2021

CSHL quantitative biologist Jesse Gillis teams up with an immunology specialist at Northwell Health to analyze a complex genetic disorder. Read the story »

Let’s talk about the elephant in the data

6/3/2021

How much prior knowledge does a machine learning computer need to find the truth? CSHL Professor Partha Mitra looks to human brains for an answer. Read the story »

Making AI algorithms show their work

5/13/2021

AI machines are often better than humans at discerning patterns. CSHL researchers developed a way to find out why. Read the story »

photo of Jason Williams helping students at the DNALC

Jason Williams named 2020 Kavli Frontiers of Science fellow

1/14/2020

Jason Williams, Assistant Director of External Collaborations at the DNA Learning Center, was chosen for 2020 Kavli Frontiers of Science symposium. Read the story »

photo of Justin Kinney pointing to a model of an artificial neural network on his tablet

Finally, machine learning interprets gene regulation clearly

12/26/2019

Machine learning and a new kind of easily-interpretable artificial neural network is helping scientists make sense of crucial gene regulation. Read the story »

NIH grant awarded for interneuron research

4/4/2019

CSHL postdoc Maggie Crow will use her NIH grant to pursue the quantification and analysis of specific types of neurons in the brain. Read the story »

Genetic ‘usual suspects’ identified in researchers’ new list

3/4/2019

An exhaustive ranked list of “usual suspect” genes involved in disease may prove invaluable for future research and drug discovery. Read the story »

photo of Tatiana Engel from Cocktails and Chromosomes

Discussing your brain, the computing machine, with Tatiana Engel – A Cocktails and Chromosomes talk

12/5/2018

Dr. Tatiana Engel explains why scientists study optical illusions, how learning configures the computing machine that is your brain, and more. Watch the video »

The big problem of small data: A new approach

10/18/2018

You’ve heard of “big data” but what about small? Researches have crafted a modern approach that could solve a decades-old problem in statistics. Read the story »

Podcast Yaniv Erlich episode genetic privacy

Base Pairs Episode 17.5: Special interview with Yaniv Erlich

10/16/2018

We sat down with Dr. Yaniv Erlich, chief scientific officer at MyHeritage DNA, to get his unique perspective on the use of personal genetic info. Listen to the podcast »

Base Pairs Episode 11.5: What Silicon Valley and biology research share

9/15/2017

A few favorite moments from our talk with theoretical physicist and quantitative biologist, Associate Professor Gurinder “Mickey” Atwal. Listen to the podcast »

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