Atul J. Butte
Molecular Biology · 1999–2024
A researcher in the Science corpus: 30 papers; trusts 45 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 284 citations into it; #1,940 of 17,773 by trust here, #1,344 by citations
- Genetics — 75 citations into it
- Artificial Intelligence — 61 citations into it
- Computational Theory and Mathematics — 43 citations into it; #12,102 of 12,182 by trust here, #2,015 by citations
- Cancer Research — 38 citations into it; #1,299 of 1,780 by trust here, #1,572 by citations
- Oncology — 32 citations into it; #1,296 of 1,698 by trust here, #964 by citations
- Immunology — 31 citations into it
- Pulmonary and Respiratory Medicine — 15 citations into it; #546 of 770 by trust here, #342 by citations
Whom Atul J. Butte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Olivier Bodenreider
- Sorin Draghici
- Taher H. Haveliwala
- Ash A. Alizadeh
- Purvesh Khatri
- Isaac S. Kohane
- Janet Piñero González
- Aravind Subramanian
- Michael B. Eisen
- Guanghui Hu
Who trusts Atul J. Butte overall
- Patrick E. Meyer
- Kevin A. Janes
- Donna K. Slonim
- Wenxu Wang
- Christoph Lippert
- Frédéric Lafitte
- Steve Horvath
- Ralph E. Steuer
- Justin B. Kinney
- Carsten O. Daub
Papers from Atul J. Butte's perspective
Ordered by how strongly the researchers Atul J. Butte trusts endorse each paper. Same corpus, a different order for every researcher.
- Gene Ontology: tool for the unification of biology
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- KEGG: Kyoto Encyclopedia of Genes and Genomes (Nucleic Acids Res.)
- Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
- Human protein reference database—2006 update (Nucleic Acids Res.)
- Long Short-Term Memory
- Systematic variation in gene expression patterns in human cancer cell lines (Nature Genetics)
- Ontological analysis of gene expression data: current tools, limitations, and open problems (Bioinform.)
- The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
- Characterizing gene sets with FuncAssociate (Bioinform.)
Their papers
- Scalable and accurate deep learning with electronic health records (2018) — 2,800 citations
- Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges (2012) — 1,495 citations
- Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. (2000) — 643 citations
- Discovery and preclinical validation of drug indications using compendia of public gene expression data (2011) — 746 citations
- Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1 (2003) — 2,100 citations
- Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage (2019) — 4,038 citations
- Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (2012) — 1,224 citations
- ImmPort: disseminating data to the public for the future of immunology (2014) — 692 citations
- Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets (2010) — 329 citations
- The use and analysis of microarray data (2002) — 513 citations
- xCell: digitally portraying the tissue cellular heterogeneity landscape (2017) — 3,821 citations
- Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks (2005) — 431 citations
- A survey of current trends in computational drug repositioning (2016) — 476 citations
- Exploiting drug-disease relationships for computational drug repositioning (2011) — 491 citations
- FoxO3 regulates neural stem cell homeostasis (2009) — 592 citations
- A Longitudinal Big Data Approach for Precision Health (2019) — 362 citations
- Analysis of matched mRNA measurements from two different microarray technologies (2002) — 494 citations
- Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist (2020) — 485 citations
- ImmPort, toward repurposing of open access immunological assay data for translational and clinical research (2018) — 652 citations
- Microarrays for an Integrative Genomics (2002) — 104 citations