Mario Medvedovic
Molecular Biology · 2002–2017
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 41 citations into it; #3,648 of 17,773 by trust here, #11,818 by citations
Whom Mario Medvedovic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Ingrid Lönnstedt
- Carl E. Rasmussen
- Alan E. Gelfand
- Geoffrey J. McLachlan
- Patrik D'haeseleer
- Adrian F. M. Smith
- Matthew West
- S. MacEachern
- Gregory R. Grant
Who trusts Mario Medvedovic overall
- Zoubin Ghahramani
- Justin Grimmer
- David B. Dahl
- Shubhankar Ray
- Bani K. Mallick
- Michael A. Newton
- Kyle Swanson
- Abel Rodríguez
- Jim E. Griffin
- Dongkuan Xu
Papers from Mario Medvedovic's perspective
Ordered by how strongly the researchers Mario Medvedovic trusts endorse each paper. Same corpus, a different order for every researcher.
- Markov Chain Sampling Methods for Dirichlet Process Mixture Models
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Estimating normal means with a conjugate style dirichlet process prior
- Bayesian Density Estimation and Inference Using Mixtures
- Sampling-Based Approaches to Calculating Marginal Densities
- Gene Ontology: tool for the unification of biology
- Mixture models : inference and applications to clustering
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model
- From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Their papers
- Bayesian infinite mixture model based clustering of gene expression profiles (2002) — 331 citations
- The Library of Integrated Network-based Cellular Signatures (LINCS) NIH Program: System-level Cataloging of Human Cells Response to Perturbations (2017) — 380 citations
- LRpath: a logistic regression approach for identifying enriched biological groups in gene expression data (2009) — 181 citations