Jimmy LinSummaryAffiliation: University of Maryland Country: USA Publications
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Detail Information
Publications
Searching for SNPs with cloud computingBen Langmead
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, USA
Genome Biol 10:R134. 2009..Crossbow is available from http://bowtie-bio.sourceforge.net/crossbow/...
PubMed related articles: a probabilistic topic-based model for content similarityJimmy Lin
College of Information Studies, University of Maryland, College Park, Maryland, USA
BMC Bioinformatics 8:423. 2007..We also describe a novel technique for estimating parameters that does not require human relevance judgments; instead, the process is based on the existence of MeSH in MEDLINE...
PageRank without hyperlinks: reranking with PubMed related article networks for biomedical text retrievalJimmy Lin
National Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA
BMC Bioinformatics 9:270. 2008..Thus, a MEDLINE record represents a node in a vast content-similarity network. This article explores the hypothesis that these networks can be exploited for text retrieval, in the same manner as hyperlink graphs on the Web...
Is searching full text more effective than searching abstracts?Jimmy Lin
National Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA
BMC Bioinformatics 10:46. 2009..Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine...
Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression dataJiang Qian
Department of Ophthalmology, Johns Hopkins Medical School, Baltimore, MD 21287, USA
Bioinformatics 19:1917-26. 2003..AVAILABILITY: The overall network of the relationships is available on the web at http://bioinfo.mbb.yale.edu/expression/echipchip..
Genome-wide prediction and characterization of interactions between transcription factors in Saccharomyces cerevisiaeXueping Yu
Wilmer Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA
Nucleic Acids Res 34:917-27. 2006..Our prediction and characterization of TF interactions may help to understand the transcriptional regulatory networks in eukaryotic systems...
Identification of tissue-specific cis-regulatory modules based on interactions between transcription factorsXueping Yu
Wilmer Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
BMC Bioinformatics 8:437. 2007..Motivated by increasing evidence that some DNA regulatory regions are not evolutionary conserved, we have developed an approach for cis-regulatory region identification that does not rely upon evolutionary sequence conservation...
Transcriptional regulatory network predictionJimmy Lin
Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
Biotechnol Genet Eng Rev 22:45-62. 2006
