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Data_Summary–statistics on datasets for each drug:

Esha Dutta (11512651) ; Michael A. DeJesus (11512654) ; Nadine Ruecker (11512657)...
https://figshare.com/articles/dataset/Data_Summary_statistics_on_datasets_for_each_drug_/16723564. , 2021

Link: https://doi.org/10.1371/journal.pone.0257911.s002

RT Journal
T1 <Title>Data_Summary–statistics on datasets for each drug</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16723564&Exemplar=1&LAN=DE
				
A1 Esha Dutta (11512651)
A1 Michael A. DeJesus (11512654)
A1 Nadine Ruecker (11512657)
A1 Anisha Zaveri (7912991)
A1 Eun-Ik Koh (11512660)
A1 Christopher M. Sassetti (8825858)
A1 Dirk Schnappinger (7052)
A1 Thomas R. Ioerger (132588)
YR 2021
K1 Biochemistry
K1 Medicine
K1 Microbiology
K1 Genetics
K1 Molecular Biology
K1 Pharmacology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 linear mixed models
K1 given inhibitor )
K1 div >< p
K1 relevant interacting genes
K1 functionally interacting genes
K1 improved statistical method
K1 single drug concentration
K1 dependence </ p
K1 improved detection
K1 essential genes
K1 bacterial genes
K1 yield false
K1 using high
K1 tuberculosis </
K1 tubercular activity
K1 throughput sequencing
K1 slope coefficients
K1 quantify changes
K1 protein depletion
K1 potentially revealing
K1 negative slopes
K1 inhibitory compounds
K1 inhibitory compound
K1 individual mutants
K1 increasing concentrations
K1 hypomorphic strains
K1 exploiting concentration
K1 dual stresses
K1 considered significant
K1 antibiotic exposure
JF https://figshare.com/articles/dataset/Data_Summary_statistics_on_datasets_for_each_drug_/16723564
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257911.s002
DO https://doi.org/10.1371/journal.pone.0257911.s002
SF ELIB - SuUB Bremen

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