2036 days ago
Deepbinner: a signal-level demultiplexer for Oxford Nanopore reads
Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier,...2003 days ago
EXCAVATOR: detecting copy number variants from whole-exome sequencing data
EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov...1964 days ago
HipSTR: Haplotype inference and phasing for Short Tandem Repeats
...ular, it accomplishes this by: Learning locus-specific PCR stutter models using an EM algorithm M...lleles from population-scale sequencing data Employing a specialized hidden Markov model to align reads to candi...1902 days ago
MSAProbs - Parallel and accurate multiple sequence alignment
...shed state-of-the-art multiple sequence alignment algorithm for protein sequences. The design of MSAProbs is based on a combination of pair hidden Markov models and partition functions to ca...1778 days ago
Machine learning training and courses in bioinformatics !
...zation. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks...1603 days ago
modelStudio: a package automates the explanation of machine learning predictive models
The modelStudio package automates the explanation of machine learning predictive models. This package generates advan...give a broad overview of the model behavior. modelStudio is a fast and conde...1581 days ago
1576 days ago
DeepHiC: A Generative Adversarial Network for Enhancing Hi-C Data Resolution
DeepHiC is a GAN-based model for enhancing Hi-C data resolution. We developed this se...aining could be performed according to our published code. We provided trained models for various depth of low-cove...1541 days ago
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on text, image, and tabular data.1231 days ago