Area of research
Molecular Biology · Biomedical Engineering
Research interest
Research interests include Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis, Gene expression and cancer classification, and Nanopore and Nanochannel Transport Studies.
Extracellular vesicles, RNA sequencing, and bioinformatic analyses: Challenges, solutions, and recommendations
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Intratumoral heterogeneity and clonal evolution in liver cancer
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
Assessment of network module identification across complex diseases
exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids
Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection
Predicting human olfactory perception from chemical features of odor molecules
Inferring causal molecular networks: empirical assessment through a community-based effort
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
A community effort to assess and improve drug sensitivity prediction algorithms
A community computational challenge to predict the activity of pairs of compounds
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach
Evaluation of methods for modeling transcription factor sequence specificity
Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling
Seeking the Wisdom of Crowds Through Challenge-Based Competitions in Biomedical Research
Crowdsourcing genetic prediction of clinical utility in the Rheumatoid Arthritis Responder Challenge
Wisdom of crowds for robust gene network inference
Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis