166 Open source projects that are alternatives of or similar to maui

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.

microsatellite instability detection using tumor only or paired tumor-normal data

A neoantigen calling pipeline begins from variants record file (MAF) (Not maintain now)

SigProfilerSimulator allows realistic simulations of mutational patterns and mutational signatures in cancer genomes. The tool can be used to simulate signatures of single point mutations, double point mutations, and insertion/deletions. Further, the tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

Microassembly based somatic variant caller for NGS data

Deep learning image autoencoder that not depends on image resolution

Easy Reduced Basis method

Unix, R and python tools for genomics and data science

SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGen…

Callable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer

Real time face landmarking using decision trees and NN autoencoders

Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole…

Personal Cancer Genome Reporter (PCGR)

Hands-on in-person workshop for Deep Learning with TensorFlow

fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"

Autoencoder trained on ImageNet Using Torch 7

Python package to annotate and visualize gene fusions.

SigProfilerMatrixGenerator creates mutational matrices for all types of somatic mutations. It allows downsizing the generated mutations only to parts for the genome (e.g., exome or a custom BED file). The tool seamlessly integrates with other SigProfiler tools.

Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs

Dual CNN Models for Unsupervised Monocular Depth Estimation

Tensorflow 2.0 implementation of Adversarial Autoencoders

PathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways

Genomics using open source tools, running on GCP or AWS

Integrated Cell project implemented in pytorch

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

A novel management, annotation, and machine learning framework for analyzing cancer mutations

DELLY2: Structural variant discovery by integrated paired-end and split-read analysis

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Chromosome visualization for the web

Backend Server for CIViC Project

Lollipop-style mutation diagrams for annotating genetic variations.

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

A bioinformatics API and web-app to integrate multi-omics datasets & interface with public databases.

Cancer Predisposition Sequencing Reporter (CPSR)

An ensemble approach to accurately detect somatic mutations using SomaticSeq

Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay

identifying mutational significance in cancer genomes

Tensorflow implementation of adversarial auto-encoder for MNIST

Snakemake-based workflow for detecting structural variants in WGS data

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

cBioPortal for Cancer Genomics

This is the official implementation for the paper 'AutoEncoder by Forest'

Web client for CIViC: Clinical Interpretations of Variants in Cancer

Convolutional AutoEncoder application on MRI images

REVOLVER - Repeated Evolution in Cancer

DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.

SigProfilerPlotting provides a standard tool for displaying all types of mutational signatures as well as all types of mutational patterns in cancer genomes. The tool seamlessly integrates with other SigProfiler tools.

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Theano implementation of Sequence-to-Sequence Autoencoder

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Single-cell copy number calling and event history reconstruction.