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3DPredictor - a computational approch to predict spatial interactions of chromatin based on epigenetic data
Allele-specific Binding from Chip-seq
ABIDE Preprocessed Initiative
Active Learning in R
Deep spectral-based shape features for Alzheimer’s Disease classification
Repository associated with Song et al. manuscript describing a Network-wide Association Study of ADNI Cohorts.
Deep learning frame for genetic disease
E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)
Code for analysis of ADNI data
Code base for performing covariate adjustments and differential expression analysis of the RNAseq data from AMP-AD.
APA Regression Net - Predict and Engineer Alternative Polyadenylation
Bioinformatic tools (R scripts) for the analysis of Absolute Quantification of Architecture (AQuA-HiChIP) style data.
Allele specific variant pipeline
An R package for adaptive sum of powered score test(ASPU) in genetic association studies.
ENCODE ATAC-seq pipeline
Analysis Toolset for Massively Parallel Reporter Assay data
Image augmentation library in Python for machine learning.
Autoencoder model for rare event classification
Reading list for research topics in multimodal machine learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
count DNA sequence reads in BAM files
Sequential regulatory activity predictions with deep convolutional neural networks.
Convolutional neural network analysis for predicting DNA sequence activity.
Building a Bayesian deep learning classifier
In this study, we perform systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarScan2, on both simulated and real single-cell RNA-seq datasets. We evaluate the performances of these tools in different read depths, genomic contexts, functional regions and variant allele frequencies.
Interpretable bimodal network for transcription factors binding site prediction
DeepATT, a hybrid deep neural network method for identifying functional effects of DNA sequences.
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.