The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles.
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| Title: | The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles. |
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| Authors: | Schreiber JM; Department of Genetics, Stanford University, Stanford, CA, USA. jmschreiber91@gmail.com., Boix CA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Wook Lee J; Department of Genetics, Stanford University, Stanford, CA, USA., Li H; Department of computational medicine and bioinformatics, University of Michigan, Ann Arbor, MI, USA., Guan Y; Department of computational medicine and bioinformatics, University of Michigan, Ann Arbor, MI, USA., Chang CC; Department of Research and Development, DeepSeq.AI, San Francisco, CA, USA., Chang JC; RIKEN Center for Integrative Medical Sciences, Yokohama, Japan., Hawkins-Hooker A; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Stuttgart, Germany., Schölkopf B; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Stuttgart, Germany., Schweikert G; School of Life Sciences, University of Dundee, Dundee, UK., Carulla MR; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Stuttgart, Germany., Canakoglu A; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Guzzo F; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Nanni L; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland., Masseroli M; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Carman MJ; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Pinoli P; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Hong C; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong., Yip KY; Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA., Spence JP; Department of Genetics, Stanford University, Stanford, CA, USA., Batra SS; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA., Song YS; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Mahony S; Department of Biochemistry & Molecular Biology, Center for Eukaryotic Gene Regulation, Pennsylvania State University, University Park, PA, USA., Zhang Z; Department of Statistics, Pennsylvania State University, University Park, PA, USA., Tan W; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA., Shen Y; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA., Sun Y; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA., Shi M; Department of Genetics, Stanford University, Stanford, CA, USA., Adrian J; Department of Genetics, Stanford University, Stanford, CA, USA., Sandstrom RS; Altius Institute, Seattle, WA, USA., Farrell NP; Epigenomics Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Halow JM; Altius Institute, Seattle, WA, USA., Lee K; Altius Institute, Seattle, WA, USA., Jiang L; Department of Genetics, Stanford University, Stanford, CA, USA., Yang X; Department of Genetics, Stanford University, Stanford, CA, USA., Epstein CB; Epigenomics Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Strattan JS; Department of Genetics, Stanford University, Stanford, CA, USA., Bernstein BE; Epigenomics Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Snyder MP; Department of Genetics, Stanford University, Stanford, CA, USA., Kellis M; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Noble WS; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Kundaje AB; Department of Genetics, Stanford University, Stanford, CA, USA.; Department of Computer Science, Stanford University, Stanford, CA, USA. |
| Corporate Authors: | ENCODE Imputation Challenge Participants |
| Source: | Genome biology [Genome Biol] 2023 Apr 18; Vol. 24 (1), pp. 79. Date of Electronic Publication: 2023 Apr 18. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-023-02915-y |
