Annalisa Marsico

发表

Predicting Cancer Genes with Graph Convolutional Networks

Roman Schulte-Sasse, Annalisa Marsico, 2018, RECOMB 2018.

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks

Annalisa Marsico, Stefan Budach, A. Marsico, 2018, Bioinform..

Pattern Recognition of Single-Molecule Force Spectroscopy Data

Michael Schroeder, Annalisa Marsico, Dirk Labudde, 2007, ER Workshops.

Understanding of SMFS Barriers by Means of Energy Profiles

Michael Schroeder, Annalisa Marsico, Dirk Labudde, 2007, German Conference on Bioinformatics.

A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants

Michael Schroeder, Annalisa Marsico, Dirk Labudde, 2006, CompLife.

pysster: Learning Sequence and Structure Motifs in DNA and RNA Sequences using Convolutional Neural Networks

Annalisa Marsico, Stefan Budach, A. Marsico, 2017, bioRxiv.

pysster: Classification Of Biological Sequences By Learning Sequence And Structure Motifs With Convolutional Neural Networks

Annalisa Marsico, Stefan Budach, 2018 .

Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis

Annalisa Marsico, Heike Siebert, Nataša Djurdjevac Conrad, 2018, bioRxiv.

Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes

Roman Schulte-Sasse, Annalisa Marsico, Stefan Budach, 2019, ICANN.

MeMotif: a database of linear motifs in α-helical transmembrane proteins

Michael Schroeder, Andreas Henschel, Christof Winter, 2009, Nucleic Acids Res..

A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy

Michael Schroeder, Annalisa Marsico, Dirk Labudde, 2007, Bioinform..

PureCLIP: capturing target-specific protein–RNA interaction footprints from single-nucleotide CLIP-seq data

Annalisa Marsico, Sabrina Krakau, Hugues Richard, 2017, Genome Biology.

Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis

Annalisa Marsico, Heike Siebert, Nataša Djurdjevac Conrad, 2018, BMC Bioinformatics.

2D Visualisation of SMFS Data on Membrane Proteins

Jing Wang, Annalisa Marsico, Dirk Labudde, 2007, ER.

Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms

Roman Schulte-Sasse, Annalisa Marsico, Stefan Budach, 2021, Nature Machine Intelligence.

PureCLIP: capturing target-specific protein–RNA interaction footprints from single-nucleotide CLIP-seq data

Annalisa Marsico, Sabrina Krakau, Hugues Richard, 2017, Genome Biology.

ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data

Martin Vingron, Ralf Krestel, Annalisa Marsico, 2016, bioRxiv.

Network-Based Methods and Other Approaches for Predicting lncRNA Functions and Disease Associations.

Annalisa Marsico, R. Piro, A. Marsico, 2019, Methods in molecular biology.

Predicting enhancers using a small subset of high confidence examples and co-training

Martin Vingron, Annalisa Marsico, Matthew R. Huska, 2016 .

TriPepSVM: de novo prediction of RNA-binding proteins based on short amino acid motifs

Roman Schulte-Sasse, Annalisa Marsico, B. Beckmann, 2019, Nucleic acids research.

Zebrafish Expression Ontology of Gene Sets (ZEOGS): a tool to analyze enrichment of zebrafish anatomical terms in large gene sets.

Annalisa Marsico, Sergey V Prykhozhij, Sergey V. Prykhozhij, 2013, Zebrafish.