Jit
Enthusiast computational biologist with business dream !!!
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A guide to machine learning for biologists
By LEGE 1163 days agowww.nature.com - We aim to provide readers with 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 different techniques may be suited to...Bioinfo Lab
The Institute of Bioinformatics conducts internationally renowned research and provides profound education in bioinformatics. Its research focuses on development and application of machine learning and statistical methods in biology and...Machine Learning for Genomics
By Jit 1169 days agogithub.com - Module 1: Statistics for genomics (2-8 August 2021) A simple intro to statistical distributions hypothesis testing linear...Machine learning in Perl
By Jit 1740 days agoblogs.perl.org - this is a fourth blog post in the Machine learning in Perl series, focusing on the AI::MXNet, a Perl interface to Apache MXNet, a modern and powerful machine learning library. If you're interested in refreshing your memory or just new to the...kebabs: package provides functionality for kernel based analysis of biological sequences via...
By Rahul Nayak 994 days agowww.bioinf.jku.at - The kebabs package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods. Biological sequences include DNA, RNA, and amino acid (AA) sequences. Sequence kernels define...A guide to machine learning for biologists
By Abhi 1060 days agowww.nature.com - Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine...Machine learning training and courses in bioinformatics !
By Rahul Nayak 1787 days ago Comments (1)homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...CrowdGO: Machine learning and semantic similarity guided consensus Gene Ontology annotation
By Shruti Paniwala 911 days agogitlab.com - CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall. Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It...
