Predrag Radivojac

Northeastern University

Full Professor(heuristic)

Genomics and Rare Diseases · Genetics

h-index58

i10-index139

Publications272

Citations21,365

Grants

20 total · 0 active

NIH #5U01HG012022-05

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Amount: $622K
Period: 2021-09-01 → 2026-05-31
PIs: 1
Est. capacity / PI: ~0 students

NIH #5U01HG012022-04

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Amount: $622K
Period: 2021-09-01 → 2026-05-31
PIs: 1
Est. capacity / PI: ~0 students

NIH #5U01HG012022-03

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Amount: $635K
Period: 2021-09-01 → 2026-05-31
PIs: 1
Est. capacity / PI: ~0 students

Student capacity is a rough estimate from remaining award size, split equally among PIs. Actual funding decisions vary.

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

Potential Collaborators

Recent Publications

Last 2 years · showing 20 of 33

Saturation Genome Editing reveals the functional impact of RAD51D <i>and</i> XRCC2 variants
bioRxiv (Cold Spring Harbor Laboratory) · 2026-06-13
Improving splice site usage prediction with SPLAIRE
bioRxiv (Cold Spring Harbor Laboratory) · 2026-06-11
Gene- and domain-aware calibration increases the clinical utility of variant effect predictorsPreprint
Research Square · 2026-05-08
CAFA 5 Evaluation Data
Zenodo (CERN European Organization for Nuclear Research) · 2026-05-01
CAFA 5 Evaluation Data
Zenodo (CERN European Organization for Nuclear Research) · 2026-05-01
Calibration of in-frame indel variant effect predictors for clinical variant classification
bioRxiv (Cold Spring Harbor Laboratory) · 2026-04-18
Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease
Microbiology Spectrum · 2026-03-25 · 2 citations
Gene- and domain-aware calibration increases the clinical utility of variant effect predictors
bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-18
Ancestry-specific performance of variant effect predictors in clinical variant classification
bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-17
A scalable approach to resolving variants of uncertain significance
bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-15 · 3 citations
Improving variant classification through data aggregation and calibration
Pathology · 2026-02-01
An integrated, scaled approach to resolve TSC2 variants of uncertain significance
bioRxiv (Cold Spring Harbor Laboratory) · 2026-01-18 · 1 citations
O61: Improving variant classification for genomic medicine through evidence calibration
Genetics in Medicine Open · 2026-01-01
Predicting interaction-specific protein–protein interaction perturbations by missense variants with MutPred-PPI
bioRxiv (Cold Spring Harbor Laboratory) · 2025-12-23
LLMs for Causal Reasoning in Medicine? A Call for Caution
2025-12-17
The IGVF catalog—from genetic variation to function
Nucleic Acids Research · 2025-12-08 · 3 citations
Literature-driven extraction and computational prediction of causal statements linking genetic variants to biological processes, pathways and phenotypes
2025-12-01
Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology
2025-12-01
Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias
2025-08-01 · 1 citations
Gene-based calibration of high-throughput functional assays for clinical variant classificationPreprint
bioRxiv (Cold Spring Harbor Laboratory) · 2025-05-04 · 6 citations

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Predrag Radivojac

Grants

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

All Grants

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes

Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes

Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes

A computational framework for predicting the impact of mutations in autism

Computational approaches to protein identification and quantification using MS/MS

A computational framework for predicting the impact of mutations in autism

A computational framework for predicting the impact of mutations in autism

Computational approaches to protein identification and quantification using MS/MS

Computational approaches to protein identification and quantification using MS/MS

Computational approaches to protein identification and quantification using MS/MS

Automated Function Prediction (AFP 2014)

Computational approaches to protein identification and quantification using MS/MS

Automated Function Prediction (AFP 2011)

Computational approaches to protein identification and quantification using MS/MS

Computational approaches to protein identification and quantification using MS/MS

Career Trajectory

Research Cluster Map

Potential Collaborators

Recent Publications