Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression
dc.contributor.author | Subramaniyam, Siddharth | |
dc.contributor.author | DeJesus, Michael A | |
dc.contributor.author | Zaveri, Anisha | |
dc.contributor.author | Smith, Clare M | |
dc.contributor.author | Baker, Richard E | |
dc.contributor.author | Ehrt, Sabine | |
dc.contributor.author | Schnappinger, Dirk | |
dc.contributor.author | Sassetti, Christopher M | |
dc.contributor.author | Ioerger, Thomas R | |
dc.date.accessioned | 2019-12-19T18:08:43Z | |
dc.date.available | 2019-12-19T18:08:43Z | |
dc.date.issued | 2019-12 | |
dc.date.updated | 2019-12-19T18:08:42Z | |
dc.identifier.issn | 1471-2105 | |
dc.identifier.uri | ||
dc.language | en | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | BMC Bioinformatics | |
dc.relation.isversionof | 10.1186/s12859-019-3156-z | |
dc.title | Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression | |
dc.type | Journal article | |
duke.contributor.orcid | Smith, Clare M|0000-0003-2601-0955 | |
pubs.issue | 1 | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Human Vaccine Institute | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Molecular Genetics and Microbiology | |
pubs.organisational-group | Basic Science Departments | |
pubs.publication-status | Published | |
pubs.volume | 20 |
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