49 citations · 159 across the 8 of their papers we have counts for
8 papers
Variational auto-encoding of protein sequences
Sam Sinai, Eric Kelsic, George M. Church +1
Proteins are responsible for the most diverse set of functions in biology. The ability to extract information from protein sequences and to predict the effects of mutations is extr…
Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization
Joshua I. Glaser, Bradley M. Zamft, George M. Church +1
Current high-resolution imaging techniques require an intact sample that preserves spatial relationships. We here present a novel approach, "puzzle imaging," that allows imaging a…
Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics
Adam H Marblestone, Evan R Daugharthy, Reza Kalhor +9
We propose a neural connectomics strategy called Fluorescent In-Situ Sequencing of Barcoded Individual Neuronal Connections (FISSEQ-BOINC), leveraging fluorescent in situ nucleic a…
New class of biological detectors for WIMPs
Andrzej K. Drukier, Charles Cantor, Mark Chonofsky +7
Weakly Interacting Massive Particles (WIMPs) may constitute a large fraction of the matter in the Universe. There are excess events in the data of DAMA/LIBRA, CoGeNT, CRESST-II, an…
Spatial Information in Large-Scale Neural Recordings
Thaddeus R. Cybulski, Joshua I. Glaser, Adam H. Marblestone +4
A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a…
Physical Principles for Scalable Neural Recording
Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire +15
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entir…