24 results found Sort:

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Created 2016-06-29
791 commits to master branch, last one 18 days ago
165
780
gpl-3.0
38
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Created 2015-03-19
1,907 commits to master branch, last one 8 months ago
118
493
unknown
14
NicheNet: predict active ligand-target links between interacting cells
Created 2018-02-05
495 commits to master branch, last one 2 months ago
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Created 2021-10-23
178 commits to main branch, last one about a month ago
51
261
bsd-3-clause
13
Spatial alignment of single cell transcriptomic data.
Created 2020-08-21
299 commits to master branch, last one about a year ago
One-step to Cluster and Visualize Gene Expression Matrix
Created 2022-11-19
139 commits to main branch, last one 12 days ago
42
224
other
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R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Created 2017-12-06
3,245 commits to devel branch, last one 2 days ago
37
138
mit
2
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
Created 2017-03-09
228 commits to master branch, last one 3 years ago
27
133
gpl-3.0
15
R package to access DoRothEA's regulons
Created 2017-03-27
282 commits to master branch, last one 9 months ago
😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎
Created 2019-03-30
186 commits to main branch, last one 7 months ago
23
105
artistic-2.0
8
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 evalu...
Created 2017-04-16
82 commits to master branch, last one about a year ago
CodonTransformer: The ultimate tool for codon optimization, optimizing DNA sequences for heterologous protein expression across 164 species.
Created 2024-05-24
245 commits to main branch, last one 29 days ago
17
84
unknown
7
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
Created 2015-05-19
1,003 commits to devel branch, last one 8 months ago
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
Created 2021-12-08
234 commits to main branch, last one 2 years ago
21
76
other
5
Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.
Created 2017-01-18
28 commits to master branch, last one about a year ago
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Created 2019-06-24
1,092 commits to devel branch, last one about a month ago
15
68
gpl-3.0
9
Fast visualization tool for large-scale and high dimensional single-cell data
Created 2018-02-13
1,617 commits to master branch, last one 3 years ago
7
66
agpl-3.0
5
This repository contains the python package for Helical
Created 2024-04-27
830 commits to release branch, last one 28 days ago
25
64
bsd-3-clause
6
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Created 2018-03-22
234 commits to master branch, last one 3 years ago
Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)
Created 2019-03-23
172 commits to master branch, last one 3 years ago
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Created 2018-04-26
184 commits to master branch, last one 2 years ago
3
57
bsd-3-clause
6
This repository has no description...
Created 2020-01-30
56 commits to master branch, last one 2 years ago
Single cell Nanopore sequencing data for Genotype and Phenotype
Created 2022-09-13
34 commits to v1.1 branch, last one 2 months ago
This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
Created 2021-05-30
42 commits to main branch, last one 3 years ago