JEFworks/badger JEFworks/badger

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    R
  • License
    Other
  • Created about 8 years ago
  • Updated almost 8 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
JEFworks/badger
github

JEFworks

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Bayesian approach for detecting copy number alterations from single cell RNA-seq data

More Repositories

1

MUDAN

Multi-sample Unified Discriminant ANalysis
R
65
star
2

liger

Lightweight Iterative Gene set Enrichment in R
R
55
star
3

mondrian-generator

Random Composition in Red, Blue, and Yellow in the style of Piet Mondrian
JavaScript
37
star
4

public-bioinformatics-datasets

Publicly available dataset for bioinformatics and integrative -omics research
36
star
5

ubit2

User-friendly Bioinformatics Tools
JavaScript
18
star
6

tsne-online

Online web tool for t-SNE analysis and interactive exploration of algorithm parameters
JavaScript
18
star
7

ELIZAplus

ELIZA therapy chat-bot with sentiment detection and response via avatars
JavaScript
13
star
8

picture-quote-generator

Random picture quotes using various APIs
HTML
13
star
9

Supplementary-Code

R
12
star
10

art-with-code

Generating art with code
CSS
9
star
11

scw2015

Single Cell Workshop 2015
HTML
7
star
12

NAMCShiny

An interactive web application to explore the reasons for medical visits based on the 2003-2010 National Ambulatory Medical Care Survey data
R
7
star
13

R-Bioconductor-for-single-cell-RNAseq-data-analysis

R/Bioconductor for single cell RNAseq data analysis meetup workshop material
R
6
star
14

genesets

Gene Sets as R Environments
R
3
star
15

coding_videos

R
2
star
16

Patel_GBM

Inferring large copy number variations from single cell RNA-seq data
R
2
star
17

SpatialTranscriptomics.js

Web browser for interactive analysis and visualization of spatial transcriptomics data
JavaScript
1
star
18

canvasXpressR

canvasXpressR: an R package to help you share results with collaborators using canvasXpress
R
1
star