Predrag Radivojac

According to our database1, Predrag Radivojac authored at least 59 papers between 2002 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 




Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Session introduction.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Proteomic Evidence for In-Frame and Out-of-Frame Alternatively Spliced Isoforms in Human and Mouse.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Enumerating consistent sub-graphs of directed acyclic graphs: an insight into biomedical ontologies.
Bioinformatics, 2018

ISMB 2018 proceedings.
Bioinformatics, 2018

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants.
Bioinformatics, 2017

Session Introduction.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Recovering True Classifier Performance in Positive-Unlabeled Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Applying, Evaluating and Refining Bioinformatics Core Competencies (An Update from the Curriculum Task Force of ISCB's Education Committee).
PLoS Computational Biology, 2016

The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease.
PLoS Computational Biology, 2016

Estimating the class prior and posterior from noisy positives and unlabeled data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A link graph-based approach to identify forum spam.
Security and Communication Networks, 2015

Ten Simple Rules for a Community Computational Challenge.
PLoS Computational Biology, 2015

Training the Next Generation of Quantitative Biologists in the Era of Big Data.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

A maximum-likelihood approach to absolute protein quantification in mass spectrometry.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies.
PLoS Computational Biology, 2014

Generalized graphlet kernels for probabilistic inference in sparse graphs.
Network Science, 2014

The automated function prediction SIG looks back at 2013 and prepares for 2014.
Bioinformatics, 2014

The impact of incomplete knowledge on the evaluation of protein function prediction: a structured-output learning perspective.
Bioinformatics, 2014

Vector Quantization Kernels for the Classification of Protein Sequences and Structures.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

ISCB Computational Biology Wikipedia Competition.
PLoS Computational Biology, 2013

Information-theoretic evaluation of predicted ontological annotations.
Bioinformatics, 2013

Improving phosphopeptide identification in shotgun proteomics by supervised filtering of peptide-spectrum matches.
Proceedings of the ACM Conference on Bioinformatics, 2013

An Integrated Regulatory Network Reveals Pervasive Cross-Regulation among Transcription and Splicing Factors.
PLoS Computational Biology, 2012

Computational approaches to protein inference in shotgun proteomics.
BMC Bioinformatics, 2012

Post-translational modifications induce significant yet not extreme changes to protein structure.
Bioinformatics, 2012

Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals.
PLoS Computational Biology, 2011

Graphlet Kernels for Prediction of Functional Residues in Protein Structures.
Journal of Computational Biology, 2010

Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease.
BMC Bioinformatics, 2010

Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease.
Bioinformatics, 2010

Loss of Post-Translational Modification Sites in Disease.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Influence of Sequence Changes and Environment on Intrinsically Disordered Proteins.
PLoS Computational Biology, 2009

Analysis of AML genes in dysregulated molecular networks.
BMC Bioinformatics, 2009

Automated inference of molecular mechanisms of disease from amino acid substitutions.
Bioinformatics, 2009

Session Introduction.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

MutDB: update on development of tools for the biochemical analysis of genetic variation.
Nucleic Acids Research, 2008

Fast and accurate identification of semi-tryptic peptides in shotgun proteomics.
Bioinformatics, 2008

A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics.
Proceedings of the Research in Computational Molecular Biology, 2008

Session Introduction.
Proceedings of the Biocomputing 2008, 2008

Gain and loss of phosphorylation sites in human cancer.
Proceedings of the ECCB'08 Proceedings, 2008

Session Introduction.
Proceedings of the Biocomputing 2007, 2007

Advancement in Protein Inference from Shotgun Proteomics Using Peptide Detectability.
Proceedings of the Biocomputing 2007, 2007

Intrinsic Disorder Is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes.
PLoS Computational Biology, 2006

Unraveling the nature of the segmentation clock: Intrinsic disorder of clock proteins and their interaction map.
Computational Biology and Chemistry, 2006

Length-dependent prediction of protein intrinsic disorder.
BMC Bioinformatics, 2006

Two Sample Logo: a graphical representation of the differences between two sets of sequence alignments.
Bioinformatics, 2006

Using Compression to Identify Classes of Inauthentic Texts.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Session Introduction.
Proceedings of the Biocomputing 2006, 2006

A Machine Learning Approach to Predicting Peptide Fragmentation Spectra.
Proceedings of the Biocomputing 2006, 2006

A computational approach toward label-free protein quantification using predicted peptide detectability.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information.
J. Bioinformatics and Computational Biology, 2005

DisProt: a database of protein disorder.
Bioinformatics, 2005

Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Classification and knowledge discovery in protein databases.
Journal of Biomedical Informatics, 2004

Feature Selection Filters Based on the Permutation Test.
Proceedings of the Machine Learning: ECML 2004, 2004

Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Improving Sequence Alignments For Intrinsically Disordered Proteins.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002