Gustavo A. Stolovitzky

Molecular Biology · 2001–2020

A researcher in the Science corpus: 17 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 243 citations into it; #13,421 of 17,773 by trust here, #2,020 by citations
• Statistical and Nonlinear Physics — 26 citations into it
• Biophysics — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Gustavo A. Stolovitzky trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nir Friedman
2. Atul J. Butte

Who trusts Gustavo A. Stolovitzky overall

1. Patrick E. Meyer
2. Florian Markowetz
3. Adam A. Margolin
4. Daniel Marbach

Papers from Gustavo A. Stolovitzky's perspective

Ordered by how strongly the researchers Gustavo A. Stolovitzky trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory: 1948-1998 - Guest Editorial
2. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
3. Addendum: Regularization and variable selection via the elastic net
4. Network motifs: simple building blocks of complex networks.
5. Transcriptional regulatory code of a eukaryotic genome (Nature)
6. Revealing modular organization in the yeast transcriptional network (Nature Genetics)
7. Approximating discrete probability distributions with dependence trees
8. A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules (Science)
9. A Tutorial on Learning with Bayesian Networks
10. Functional discovery via a compendium of expression profiles. (Cell)

Their papers

• Prediction of central nervous system embryonal tumour outcome based on gene expression (2002) — 2,465 citations
• Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases (2018) — 30 citations
• Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges (2010) — 478 citations
• Wisdom of crowds for robust gene network inference (2012) — 1,736 citations
• Assessment of network module identification across complex diseases (2019) — 268 citations
• Revealing strengths and weaknesses of methods for gene network inference (2010) — 795 citations
• Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) — 299 citations
• Reverse engineering of regulatory networks in human B cells (2005) — 1,474 citations
• Evaluation of methods for modeling transcription-factor sequence specificity (2013) — 375 citations
• Inferring causal molecular networks: empirical assessment through a community-based effort (2016) — 222 citations
• A community computational challenge to predict the activity of pairs of compounds (2014) — 306 citations
• Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection (2015) — 314 citations
• A community effort to assess and improve drug sensitivity prediction algorithms (2014) — 728 citations
• Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020) — 345 citations
• Predicting human olfactory perception from chemical features of odor molecules (2017) — 307 citations
• ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (2004) — 2,804 citations
• Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells (2001) — 1,018 citations