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Name: Chuang Ma
Type: User
Location: Yangling, China
Name: Chuang Ma
Type: User
Location: Yangling, China
CAFU: A Galaxy framework for exploring unmapped RNA-Seq data
Camoco is a fully-fledged software package for building co-expression networks and analyzing the overlap interactions among genes.
deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
deepTFBS: Improving within- and cross-species prediction of transcription factor binding using deep multi-task and transfer learning
deepTS explores transcriptional switch events from pairwise, temporal and population transcriptome data.
Dual-extraction method for phenotypic prediction and functional gene mining of complex traits
Matrix factorization-based biological discovery from large-scale transcriptome data using easyMF
G2P is an integrated genomic selection (GS) package for predicting phenotypes from genotypes. It includes 15 GS algorithms and 13 evaluation measurements.
iwa-miRNA is a web-based platform for interactive annotation of plant miRNAs
A bioinformatics pipeline for the evolution analysis of m6A in plants
machine learning-based mature miRNAs within pre-miRNA sequences
Machine learning-based differential network analysis
PEA: an integrated R toolkit for epitranscriptome analysis
A machine learning-based m5C predictor
PEA-m6A: an ensemble learning-based framework for predicting m6A modifications in plants
RAP is a rank aggregation-based data fusion approach for gene prioritization in plants. It can be used to perform the gene prioritization in Arabidopsis thaliana and 28 non-plant species. The input of RAP are a set of genes of interest and the network-based gene prioritization results from AraNet v2 system, while the output are the ranks of candidate genes. RAP has been successfully applied to prioritize flowering-time genes in Arabidopsis. The genome-wide experimental results indicate that RAP can be used as a complement to the network-based gene prioritization algorithm (e.g., AraNet v2) for accurately prioritizing candidate genes underlying biological processes or agricultural traits.
rsgcc
implementations of CX, PCA, and NMF factorizations in Spark and MPI
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.