Year |
Citation |
Score |
2020 |
Zhao Z, Cristian A, Rosen G. Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life. Bmc Bioinformatics. 21: 412. PMID 32957925 DOI: 10.1186/S12859-020-03744-7 |
0.38 |
|
2020 |
Zhao Z, Sokhansanj BA, Malhotra C, Zheng K, Rosen GL. Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization. Plos Computational Biology. 16: e1008269. PMID 32941419 DOI: 10.1371/Journal.Pcbi.1008269 |
0.352 |
|
2020 |
Cullen CM, Aneja KK, Beyhan S, Cho CE, Woloszynek S, Convertino M, McCoy SJ, Zhang Y, Anderson MZ, Alvarez-Ponce D, Smirnova E, Karstens L, Dorrestein PC, Li H, Sen Gupta A, ... ... Rosen GL, et al. Emerging Priorities for Microbiome Research. Frontiers in Microbiology. 11: 136. PMID 32140140 DOI: 10.3389/Fmicb.2020.00136 |
0.329 |
|
2019 |
Woloszynek S, Mell JC, Zhao Z, Simpson G, O'Connor MP, Rosen GL. Exploring thematic structure and predicted functionality of 16S rRNA amplicon data. Plos One. 14: e0219235. PMID 31825995 DOI: 10.1371/Journal.Pone.0219235 |
0.392 |
|
2019 |
Woloszynek S, Zhao Z, Chen J, Rosen GL. 16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses. Plos Computational Biology. 15: e1006721. PMID 30807567 DOI: 10.1371/Journal.Pcbi.1006721 |
0.384 |
|
2018 |
Ditzler G, LaBarck J, Ritchie J, Rosen G, Polikar R. Extensions to Online Feature Selection Using Bagging and Boosting. Ieee Transactions On Neural Networks and Learning Systems. 29: 4504-4509. PMID 29028210 DOI: 10.1109/Tnnls.2017.2746107 |
0.34 |
|
2017 |
McIntyre ABR, Ounit R, Afshinnekoo E, Prill RJ, Hénaff E, Alexander N, Minot SS, Danko D, Foox J, Ahsanuddin S, Tighe S, Hasan NA, Subramanian P, Moffat K, Levy S, ... ... Rosen GL, et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers. Genome Biology. 18: 182. PMID 28934964 DOI: 10.1186/S13059-017-1299-7 |
0.411 |
|
2017 |
Ditzler G, Polikar R, Rosen G, Ditzler G, Polikar R, Rosen G, Ditzler G, Rosen G, Polikar R. A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. Ieee Transactions On Neural Networks and Learning Systems. 29: 2530-2544. PMID 28504951 DOI: 10.1109/Tnnls.2017.2697407 |
0.347 |
|
2016 |
Lan Y, Rosen G, Hershberg R. Marker genes that are less conserved in their sequences are useful for predicting genome-wide similarity levels between closely related prokaryotic strains. Microbiome. 4: 18. PMID 27138046 DOI: 10.1186/S40168-016-0162-5 |
0.33 |
|
2016 |
Woloszynek S, Pastor S, Mell JC, Nandi N, Sokhansanj B, Rosen GL. Engineering Human Microbiota: Influencing Cellular and Community Dynamics for Therapeutic Applications. International Review of Cell and Molecular Biology. 324: 67-124. PMID 27017007 DOI: 10.1016/Bs.Ircmb.2016.01.003 |
0.33 |
|
2015 |
Ditzler G, Morrison JC, Lan Y, Rosen GL. Fizzy: feature subset selection for metagenomics. Bmc Bioinformatics. 16: 358. PMID 26538306 DOI: 10.1186/S12859-015-0793-8 |
0.363 |
|
2015 |
Ditzler G, Polikar R, Rosen G. Multi-Layer and Recursive Neural Networks for Metagenomic Classification. Ieee Transactions On Nanobioscience. 14: 608-16. PMID 26316190 DOI: 10.1109/Tnb.2015.2461219 |
0.312 |
|
2015 |
Reichenberger ER, Rosen G, Hershberg U, Hershberg R. Prokaryotic nucleotide composition is shaped by both phylogeny and the environment. Genome Biology and Evolution. 7: 1380-9. PMID 25861819 DOI: 10.1093/Gbe/Evv063 |
0.586 |
|
2015 |
Ditzler G, Polikar R, Rosen G. A bootstrap based Neyman-Pearson test for identifying variable importance. Ieee Transactions On Neural Networks and Learning Systems. 26: 880-6. PMID 25794384 DOI: 10.1109/Tnnls.2014.2320415 |
0.323 |
|
2015 |
Essinger SD, Reichenberger E, Morrison C, Blackwood CB, Rosen GL. A toolkit for ARB to integrate custom databases and externally built phylogenies. Plos One. 10: e0109277. PMID 25607539 DOI: 10.1371/Journal.Pone.0109277 |
0.325 |
|
2014 |
Koslicki D, Foucart S, Rosen G. WGSQuikr: fast whole-genome shotgun metagenomic classification. Plos One. 9: e91784. PMID 24626336 DOI: 10.1371/Journal.Pone.0091784 |
0.382 |
|
2014 |
Lan Y, Morrison JC, Hershberg R, Rosen GL. POGO-DB--a database of pairwise-comparisons of genomes and conserved orthologous genes. Nucleic Acids Research. 42: D625-32. PMID 24198250 DOI: 10.1093/Nar/Gkt1094 |
0.366 |
|
2014 |
Ditzler G, Rosen G. Feature subset selection for inferring relative importance of taxonomy Acm Bcb 2014 - 5th Acm Conference On Bioinformatics, Computational Biology, and Health Informatics. 673-679. DOI: 10.1145/2649387.2660824 |
0.329 |
|
2013 |
Koslicki D, Foucart S, Rosen G. Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing. Bioinformatics (Oxford, England). 29: 2096-102. PMID 23786768 DOI: 10.1093/Bioinformatics/Btt336 |
0.355 |
|
2013 |
Reichenberger ER, Alexander GM, Perreault MJ, Russell JA, Schwartzman RJ, Hershberg U, Rosen G. Establishing a relationship between bacteria in the human gut and complex regional pain syndrome. Brain, Behavior, and Immunity. 29: 62-9. PMID 23261776 DOI: 10.1016/J.Bbi.2012.12.005 |
0.565 |
|
2013 |
Bouchot JL, Trimble WL, Ditzler G, Lan Y, Essinger S, Rosen G. Advances in Machine Learning for Processing and Comparison of Metagenomic Data Computational Systems Biology: From Molecular Mechanisms to Disease: Second Edition. 295-329. DOI: 10.1016/B978-0-12-405926-9.00014-9 |
0.306 |
|
2012 |
Sullam KE, Essinger SD, Lozupone CA, O'Connor MP, Rosen GL, Knight R, Kilham SS, Russell JA. Environmental and ecological factors that shape the gut bacterial communities of fish: a meta-analysis. Molecular Ecology. 21: 3363-78. PMID 22486918 DOI: 10.1111/J.1365-294X.2012.05552.X |
0.334 |
|
2012 |
Lan Y, Wang Q, Cole JR, Rosen GL. Using the RDP classifier to predict taxonomic novelty and reduce the search space for finding novel organisms. Plos One. 7: e32491. PMID 22403664 DOI: 10.1371/Journal.Pone.0032491 |
0.391 |
|
2012 |
Rosen GL, Lim TY. NBC update: The addition of viral and fungal databases to the Naïve Bayes classification tool. Bmc Research Notes. 5: 81. PMID 22293603 DOI: 10.1186/1756-0500-5-81 |
0.356 |
|
2012 |
Chen X, Hu X, Lim TY, Shen X, Park EK, Rosen GL. Exploiting the functional and taxonomic structure of genomic data by probabilistic topic modeling. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 9: 980-91. PMID 21844637 DOI: 10.1109/Tcbb.2011.113 |
0.387 |
|
2011 |
Garbarine E, DePasquale J, Gadia V, Polikar R, Rosen G. Information-theoretic approaches to SVM feature selection for metagenome read classification. Computational Biology and Chemistry. 35: 199-209. PMID 21704267 DOI: 10.1016/J.Compbiolchem.2011.04.007 |
0.373 |
|
2011 |
Rosen GL, Polikar R, Caseiro DA, Essinger SD, Sokhansanj BA. Discovering the unknown: improving detection of novel species and genera from short reads. Journal of Biomedicine & Biotechnology. 2011: 495849. PMID 21541181 DOI: 10.1155/2011/495849 |
0.357 |
|
2011 |
Rosen GL, Reichenberger ER, Rosenfeld AM. NBC: the Naive Bayes Classification tool webserver for taxonomic classification of metagenomic reads. Bioinformatics (Oxford, England). 27: 127-9. PMID 21062764 DOI: 10.1093/Bioinformatics/Btq619 |
0.371 |
|
2010 |
Rosen GL, Essinger SD. Comparison of statistical methods to classify environmental genomic fragments. Ieee Transactions On Nanobioscience. 9: 310-6. PMID 20876033 DOI: 10.1109/Tnb.2010.2081375 |
0.39 |
|
2009 |
Rosen GL, Sokhansanj BA, Polikar R, Bruns MA, Russell J, Garbarine E, Essinger S, Yok N. Signal processing for metagenomics: extracting information from the soup. Current Genomics. 10: 493-510. PMID 20436876 DOI: 10.2174/138920209789208255 |
0.429 |
|
2008 |
Rosen G, Garbarine E, Caseiro D, Polikar R, Sokhansanj B. Metagenome fragment classification using N-mer frequency profiles. Advances in Bioinformatics. 2008: 205969. PMID 19956701 DOI: 10.1155/2008/205969 |
0.393 |
|
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