sjessa
Computational biologist & post-doc at Stanford: interested in the brain, functional genomics, and open science.
post-doc @kundajelab @GreenleafLabStanford Unviersity
sjessa's Stars
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
bepaald/signalbackup-tools
Tool to work with Signal Backup files.
stencila/stencila
Documents with Scientific Intelligence
jespermaag/gganatogram
Create anatograms using ggplot2
Genentech/gReLU
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
mhammell-laboratory/TEtranscripts
A package for including transposable elements in differential enrichment analysis of sequencing datasets.
markvanderloo/tinytest
A lightweight, no-dependency, but full-featured package for unit testing in R
teuder/rcpp4everyone_en
Rcpp for everyone
thebioengineer/camcorder
Record plots generated during an R session and replay as a gif!
loosolab/TOBIAS
Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal
yihui/litedown
A lightweight version of R Markdown
scikit-learn-contrib/skglm
Fast and modular sklearn replacement for generalized linear models
GreenleafLab/NucleoATAC
nucleosome calling using ATAC-seq
kenhanscombe/ukbtools
An R package to manipulate and explore UK Biobank data
brentp/slurmpy
submit jobs to slurm with quick-and-dirty python
stemangiola/CuratedAtlasQueryR
Tidy R query API for the harmonised and curated CELLxGENE single-cell atlas.
openproblems-bio/openproblems-v2
Formalizing and benchmarking open problems in single-cell genomics
vsoch/forward
Port Forwarding Utility
caleblareau/gchromVAR
Cell type specific enrichments using finemapped variants and quantitative epigenetic data
GreenleafLab/NucleoATACR
R package for reading in & working with NucleoATAC outputs
joelparkerhenderson/icebreaker-questions
Icebreaker questions to help people, groups, teams, meetings, and such
jzhoulab/puffin_manuscript
simonpcouch/syrup
Measure Memory and CPU Usage of R Code
RoseYuan/sc_chromatin_benchmark
Benchmarking computational methods for single-cell ATAC-seq and CUT&Tag
zeitlingerlab/Brennan_Zelda_2023
Code for data analysis and processing of Brennan et al regarding Zelda's role as a pioneer.
aertslab/DeepBrain
DeepBrain: a collection of vertebrate sequence-based enhancer models aimed at understanding brain cell type enhancer code across and within species
stephenslab/susie-paper
Experiments on SuSiE ("sum of single effects") regression.
zrcjessica/sc-power-analysis
Power analysis for scRNA-seq data
zrcjessica/ml_concepts
A collection of Jupyter notebooks containing tutorials for various machine learning concepts.