eLife Sciences's Projects
C++ code for Monte Carlo simulations of patchy spherocylinders
Dataset analysis, simulations and figures from single cell splicing paper
Code used in Elowitz lab in 2018
curation workflow automation and coordination
Source code and data analyses for the Sci-Hub Coverage Study
Data for the Sci-Hub Stats Browser
Manuscript for the Sci-Hub Coverage Study
scRNA-seq analysis of placental tissues at labor
User-friendly Scopus and Journal Metrics data
Chemical genetic data analysis pipeline
Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells and cells with shared gene-expression programs.
Code and data for the article "Nutrient levels and trade-offs control diversity in a model seasonal ecosystem"
Deep learning in a spiking neural network using segregated dendrites.
The Self-Assembling-Manifold (SAM) algorithm.
Model for elife (2018) paper
Train (innate training) and test a Leaky RNN on transcribing spoken digit utterances to handwritten digits
Code for Pang and Fairhall, "Fast and Flexible..." 2019.
An algorithm for unsupervised discovery of sequential structure
code for analyzing performance on sequence completion task
Record behavioral task events to files. Run on host computer.
Code and data for SETD8 simulations
Analysis of legacy dataset
Code for "Nishal P. Shah, N. Brackbill, C. Rhoades, A. Tikidji-Hamburyan, G. Goetz, A. Litke, A. Sher, E. P. Simoncelli, E.J. Chichilnisky. Inference of Nonlinear Receptive Field Subunits with Spike-Triggered Clustering. ELife, 2020"
graphical user interface for analysis and visualization of RT-DC data sets