-omics data analysis
high-throughput cell imaging data analysis
by
Andreas Hadjiprocopis
(contact details: 'andreashad2' then the funny snail symbol then 'gmail.com'
without the quotes)
Book chapter in Systems Genetics, Linking Genotypes and Phenotypes: "Phenotype State Spaces and Strategies for Exploring Them" (in Florian Markowetz and Michael Boutros eds., Cambridge Series in Systems Genetic, Cambridge University Press, 2015).
My PhD thesis ("Feed Forward Neural Network Entities") on how to break a large-and-cumbersome Feed Forward Neural Network into a number of smaller-and-easier-to-handle neural networks is here.
Public domain software I have written over the years (Biological data analysis, some programs used to create the data described in other pages in this site, Neural Networks, Genetic algorithms, general machine learning and AI) can be found at my Github repository here: https://github.com/hadjiprocopis
Project protein-hops integrates STRING-DB data and gene expession data and builds a graph of functional associations. Questions such as list all 2-hop associations between two proteins can be answered in an efficient way.
talk on 29/11/2017 about integrating omics data from various sources and public databases. Also, analysis of cell morphological and texture features extracted from high-throughput images of live cells.
contact details: 'andreashad2' then the funny snail symbol -aka 'at' - then 'gmail.com' without the quotes