Panayiota Poirazi

Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response

Maria E. Manioudaki, Panayiota Poirazi, M. Manioudaki, 2013, Front. Genet..

Emerging applications of read profiles towards the functional annotation of the genome

Jan Gorodkin, Panayiota Poirazi, Sachin Pundhir, 2015, Front. Genet..

Inside the brain of a neuron

Panayiota Poirazi, Eleftheria Kyriaki Pissadaki, Kyriaki Sidiropoulou, 2006, EMBO reports.

A compressed sensing perspective of hippocampal function

Panayiota Poirazi, Panagiotis C. Petrantonakis, P. Petrantonakis, 2014, Front. Syst. Neurosci..

Artificial neural networks in action for an automated cell-type classification of biological neural networks pdf

Panagiotis Tsakalides, Attila Losonczy, Grigorios Tsagkatakis, 2019, ArXiv.

A Simple Method to Simultaneously Detect and Identify Spikes from Raw Extracellular Recordings

Panayiota Poirazi, Panagiotis C. Petrantonakis, P. Petrantonakis, 2015, Front. Neurosci..

Utilization of SSCprofiler to predict a new miRNA gene.

Panayiota Poirazi, Anastasis Oulas, A. Oulas, 2011, Methods in molecular biology.

Dentate Gyrus Circuitry Features Improve Performance of Sparse Approximation Algorithms

Panayiota Poirazi, Panagiotis C. Petrantonakis, P. Petrantonakis, 2015, PloS one.