Jx-b's Stars
mrdavey/Futura-os
Using continual sentiment analysis of social content (twitter, reddit, news, etc), perform profitable trades by following the sentiment/price correlations. Uses React.js, Node.js, GCP (App Engine, Compute Engine, Cloud Functions, Firebase).
RomelTorres/alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
gijswobben/pymed
PyMed is a Python library that provides access to PubMed.
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
bvieth/powsimR
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
plotly/dash-table
OBSOLETE: now part of https://github.com/plotly/dash
MaayanLab/scAVI
Single-cell RNA-seq data analysis and visualization
NBISweden/workshop-scRNAseq
Single cell RNA sequencing analysis course
Genentech/Absolve
Absolve antibody variable domain sequence analysis
jacoblevine/PhenoGraph
Subpopulation detection in high-dimensional single-cell data
10XGenomics/cellranger
10x Genomics Single Cell Analysis
giannimonaco/ABIS
visrsoftware/visr-apps
Collection of R-apps for VisR software
PopMedNet-Team/FDA-My-Studies-Mobile-Application-System
Please note that this repository has been moved. Please visit our new repository with the most up to date code at: https://github.com/FDA-MyStudies/FDA-My-Studies-Mobile-Application-System
jdekanter/CHETAH
scRNA-seq cell type identification
thelovelab/tximeta
Transcript quantification import with automatic metadata detection
reese3928/NBAMSeq
Negative Binomial Additive Model for RNASeq Data
theislab/diffxpy
Differential expression analysis for single-cell RNA-seq data.
theislab/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
justinfinkle/diffexpy
Dynamic Differential Expression Analysis in Python
imjoy-team/ImJoy
ImJoy: Deep Learning Made Easy!
r-bioinformatics/edgePy
A Python implementation of edgeR for differential expression analysis
GibbsConsulting/jupyter-plotly-dash
Jupyter notebook wrapper for plotly dash applications
biothings/mygene.info
MyGene.info: A BioThings API for gene annotations
holoviz/panel
Panel: The powerful data exploration & web app framework for Python
scverse/scanpy
Single-cell analysis in Python. Scales to >1M cells.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn/scikit-learn
scikit-learn: machine learning in Python