Results for "neural"
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Bioinformatics Algorithm Demonstrations and Tutorials
...tudies and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene expression data, and a simple Neural Network. These demonstrations...3716 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, using many of...1998 days ago
Machine learning training and courses in bioinformatics !
...arkov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only b...1598 days ago
- DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-gener...sequencing data. DeepVariant is an analysis pipeline that uses a deep neural network to call genetic varia...
1573 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, using many of the architectural ad...1558 days ago
medaka: Sequence correction provided by ONT Research
medaka is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads a...1459 days ago
A guide to machine learning for biologists
...th a gentle introduction to a few key machine learning techniques, including the most recently developed and widely used techniques involving deep neural networks. We describe how dif...974 days ago
A guide to machine learning for biologists
...ive readers a moderate introduction to a few fundamental machine learning techniques, including the most recently created and frequently used deep neural network techniques. We illust...871 days ago
- ...racterizing patients at both the molecular and biological pathway levels. In this paper, we present GraphPath, a biological knowledge-driven graph neural network with multi-head self-...
50 days ago
