Author Info
Name
Affiliation
Papers
TATIANA T. MARQUEZ-LAGO
Department of Biosystems Science and Engineering, Swiss Federal Institute of Technology (ETH) Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland. tatiana.marquez@bsse.ethz.ch
22
Collaborators
Citations 
PageRank 
79
77
9.01
Referers 
Referees 
References 
203
491
189
Search Limit
100491
Title
Citations
PageRank
Year
Bastionhub: A Universal Platform For Integrating And Analyzing Substrates Secreted By Gram-Negative Bacteria00.342021
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy10.352021
Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning.00.342020
PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy.00.342020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information10.352020
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.20.352020
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.10.352020
PROSPECT: A web server for predicting protein histidine phosphorylation sites10.362020
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.30.382019
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.20.362019
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.10.362019
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.20.402019
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.20.352019
Bastion3: a two-layer ensemble predictor of type III secreted effectors.20.372019
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors.60.452018
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.50.442018
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.200.672018
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.60.502018
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles.130.592017
The long and viscous road: uncovering nuclear diffusion barriers in closed mitosis.10.382014
Stochastic adaptation and fold-change detection: from single-cell to population behavior.70.592011
Probability distributed time delays: integrating spatial effects into temporal models.10.402010