Martin Reczko

发表

Prediction of human transnational initiation sites using a multiple neural network approach

Christian Derst, Martin Reczko, Artemis G. Hatzigeorgiou, 2000, Int. J. Comput. Syst. Signals.

Accurate microRNA target prediction correlates with protein repression levels

Nectarios Koziris, Timos K. Sellis, Panayiotis Tsanakas, 2009, BMC Bioinformatics.

DMPlanner: An extensible and searchable catalogue for DMP resources

Martin Reczko, Thanasis Vergoulis, Theodore Dalamagas, 2020 .

DIANA-mirPath: Integrating human and mouse microRNAs in pathways

Martin Reczko, Artemis G. Hatzigeorgiou, Manolis Maragkakis, 2009, Bioinform..

DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association

Nectarios Koziris, Martin Reczko, Artemis G. Hatzigeorgiou, 2011, Nucleic Acids Res..

Computational classification of microRNAs in next-generation sequencing data

Martin Reczko, Artemis G. Hatzigeorgiou, Joshua A. Riback, 2010 .

A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities

Ioannis G. Tollis, Martin Reczko, Eleftheria Tzamali, 2011, BMC Systems Biology.

The ELIXIR-Greece Galaxy server including best practices tools and workflows for the analysis of SARS-CoV-2 data

Martin Reczko, Alexandros Dimopoulos, 2020 .

DIANA miRPath v.2.0: investigating the combinatorial effect of microRNAs in pathways

Martin Reczko, Artemis G. Hatzigeorgiou, Thanasis Vergoulis, 2012, Nucleic Acids Res..

DIANA-microT web server: elucidating microRNA functions through target prediction

Nectarios Koziris, Timos K. Sellis, Panayiotis Tsanakas, 2009, Nucleic Acids Res..

Using Treemaps to Visualize Phylogenetic Trees

Ioannis G. Tollis, Alexandros Stamatakis, Martin Reczko, 2005, ISBMDA.

Functional microRNA targets in protein coding sequences

Ivo Grosse, Martin Reczko, Artemis G. Hatzigeorgiou, 2012, Bioinform..

An update of the DEF database of protein fold class predictions

Dimitris A. Karras, Martin Reczko, Henrik Bohr, 1997, Nucleic Acids Res..

Multistate Time-Delay Neural Networks for the recognition of POL II promoter sequences

Martin Reczko, Niels Mache, M. Reczko, 1996 .

Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins

Martin Reczko, Trias Thireou, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

MR image reconstruction from sparsely sampled scans based on multilayer perceptrons and using regularization techniques

Dimitris A. Karras, Basil G. Mertzios, Dirk van Ormondt, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Protein Fold Class Prediction: New Methods of Statistical Classification

Martin Reczko, Sándor Suhai, Janet Grassmann, 1999, ISMB.

Feature recognition on expressed sequence tags of human DNA

Martin Reczko, Artemis G. Hatzigeorgiou, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows

Martin Reczko, Artemis G. Hatzigeorgiou, Thanasis Vergoulis, 2013, Nucleic Acids Res..

Integrated web resource usage monitoring

Martin Reczko, Alexandros Dimopoulos, 2018 .

Encoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron Model

Martin Reczko, Panayiota Poirazi, Eleftheria Kyriaki Pissadaki, 2010, PLoS Comput. Biol..

Detection of Eukaryotic POL II Promoters with Multi-State Time-Delay Neural Networks

Martin Reczko, Artemis G. Hatzigeorgiou, Paul Levi, 1996, German Conference on Bioinformatics.

Support Vector Machines for Predicting microRNA Hairpins

Molly Megraw, Martin Reczko, Artemis G. Hatzigeorgiou, 2006, BIOCOMP.

Lost in translation: an assessment and perspective for computational microRNA target identification

Martin Reczko, Artemis G. Hatzigeorgiou, Manolis Maragkakis, 2009, Bioinform..

The database of experimentally supported targets: a functional update of TarBase

Martin Reczko, Artemis G. Hatzigeorgiou, Giorgos L. Papadopoulos, 2008, Nucleic Acids Res..

DIANA-EST: a statistical analysis

Martin Reczko, Artemis G. Hatzigeorgiou, Petko Fiziev, 2001, Bioinform..

The Impact of Systems Biology on the Digital Patient

Ioannis G. Tollis, Vassilis Tsiaras, Martin Reczko, 2007, ERCIM News.

A parallel neural network simulator on the connection machine CM-5

Andreas Zell, Martin Reczko, Artemis G. Hatzigeorgiou, 1995, Comput. Appl. Biosci..

TarBase 6.0: capturing the exponential growth of miRNA targets with experimental support

Nectarios Koziris, Martin Reczko, Artemis G. Hatzigeorgiou, 2011, Nucleic Acids Res..

MicroRNAs and Cancer—The Search Begins!

Martin Reczko, Panayiota Poirazi, Anastasis Oulas, 2009, IEEE Transactions on Information Technology in Biomedicine.

Visualization of Functional Aspects of microRNA Regulatory Networks Using the Gene Ontology

Ioannis G. Tollis, Martin Reczko, Alkiviadis Symeonidis, 2006, ISBMDA.

Künstliche neuronale Netzwerke in der Molekularbiologie

Martin Reczko, 1996 .

Finding Signal Peptides in Human Protein Sequences Using Recurrent Neural Networks

Martin Reczko, Artemis G. Hatzigeorgiou, Petko Fiziev, 2002, WABI.

DIANA-LncBase: experimentally verified and computationally predicted microRNA targets on long non-coding RNAs

Martin Reczko, Artemis G. Hatzigeorgiou, Theodore Dalamagas, 2012, Nucleic Acids Res..

The benefit of cooperation: Identifying growth-efficient interacting strains of Escherichia coli using metabolic flux balance models

Martin Reczko, Eleftheria Tzamali, M. Reczko, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Das Gensequenzanalysesystem DIANA

Martin Reczko, Artemis G. Hatzigeorgiou, Niels Mache, 2007 .

DeepFoldit - A Deep Reinforcement Learning Neural Network Folding Proteins pdf

Martin Reczko, Dimitra N. Panou, M. Reczko, 2020, ArXiv.

SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

Martin Reczko, Thanasis Vergoulis, Theodore Dalamagas, 2021, SSDBM.

Integrated analysis of microRNA and mRNA expression and association with HIF binding reveals the complexity of microRNA expression regulation under hypoxia

Anton J. Enright, Martin Reczko, Carme Camps, 2014, Molecular Cancer.

Prediction of the subcellular localization of eukaryotic proteins using sequence signals and composition

Martin Reczko, M. Reczko, Artemis Hatzigerrorgiou, 2004, Proteomics.

Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics Data

Martin Reczko, Artemis G. Hatzigeorgiou, Manolis Maragkakis, 2011, Front. Gene..

Discrete Clusters of Virus-Encoded MicroRNAs Are Associated with Complementary Strands of the Genome and the 7.2-Kilobase Stable Intron in Murine Cytomegalovirus

Martin Reczko, Peter Ghazal, Javier Santoyo-Lopez, 2007, Journal of Virology.

Functional site prediction on the DNA sequence by artificial neural networks

Martin Reczko, Artemis G. Hatzigeorgiou, Niels Mache, 1996, Proceedings IEEE International Joint Symposia on Intelligence and Systems.

Computational Identification of Bacterial Communities

Ioannis G. Tollis, Martin Reczko, Eleftheria Tzamali, 2009 .