The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
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Alidoust: Hypothesis-driven biology slowed progress, but falling costs enable unbiased data
“One thing that has been a Has been slowing the progress in bio is the fact that we have always been super hypothesis driven, and I think it has, the reason is that a lot of these experiments are expensive, you know, that they take a lot of time, a lot of resou…”
Alidoust: Single-cell AI performance holds even after 99% data downsampling
“If you actually reduce the number of the sixty million, you down sample it by like, Even 99%. You know, you just use one percent of that data to train your models. Actually, the model's performance doesn't reduce that much. So it means that the information con…”
Yu: Virtual cell models will directly design disease-reversing drugs
“A big part of our future vision and roadmap is that we think there will be a moment where from a virtual cell model, a drug is spit out, and basically the drug will actually cause a healthy disease cell to become a healthy cell again.”
Yu: Tahoe dataset doubles a decade of cumulative single-cell data
“And so this data set, it is basically doubling the size of all the data that's out there cumulatively over the past decade. It covers 50 different cancer models from different patients, so it's cells from 50 different patients. 1200 drug treatments, so it's a …”
Yu: Cancer perturbation pathways apply broadly to neuroscience and immunology
“This data set, even though it's heavily based around these kinds of chemical perturbations of cancer, they also, these pathways are so conserved and fundamental that they broadly apply to the neuroscience space or like to just immune cell development in genera…”
Alidoust: Tahoe dataset expands public perturbational single-cell data fiftyfold
“I think when you put all of the perturbational data sets in the world together if you're generous, it's like one to two million single cell data points. And this is publicly available data. We don't know as much about, you know, what, what's inside different o…”
Johnny Yu: Tahoe-100 is the world's largest single-cell RNA sequencing dataset
“So Tahoe 100 is the world's biggest single cell RNA sequencing data set, and it enables basically a ton of machine learning applications, including things like the virtual cell, but it also enables a lot of drug discovery applications, and broadly in the conte…”
Burke: Arc Institute built SC Basecamp with 230M single cells
“We've created something called SC Basecamp and you can almost think of it like the Google crawler and index, so we've built this agent that goes onto the internet, And basically mines public single cell sequenced RNA data, and then curates it in a very sort of…”
Yu: Vevo generated Tahoe dataset with four people in three days
“Well, it ended up being actually four people from Vivo, and we did it, I think, over like three days in the end.”
Alidoust: 100 million single-cell data points equate to 200-300 billion tokens
“Think of it like a cell collection of for this data says 2000 to 5000 genes, and each gene and its expression is basically a token in what we're doing. So 200, like a hundred million single cell data points is akin to around 200 to three hundred billion tokens…”