Author Correction: Biopsy bacterial signature can predict patient tissue malignancy (Scientific Reports, (2021), 11, 1, (18535), 10.1038/s41598-021-98089-3)

Glenn Hogan; Julia Eckenberger; Neegam Narayanen; Sidney P. Walker; Marcus J. Claesson; Mark Corrigan; Deirdre O’Hanlon; Mark Tangney

doi:10.1038/s41598-022-24161-1

Author Correction: Biopsy bacterial signature can predict patient tissue malignancy (Scientific Reports, (2021), 11, 1, (18535), 10.1038/s41598-021-98089-3)

Glenn Hogan
, Julia Eckenberger
, Neegam Narayanen
, Sidney P. Walker
, Marcus J. Claesson
, Mark Corrigan
, Deirdre O’Hanlon
, Mark Tangney

Cork University Hospital
South Infirmary Victoria University Hospital

Research output: Contribution to journal › Comment/Debate

Original language	English
Article number	19592
Journal	Scientific Reports
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41598-022-24161-1
Publication status	Published - Dec 2022

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10.1038/s41598-022-24161-1

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title = "Author Correction: Biopsy bacterial signature can predict patient tissue malignancy (Scientific Reports, (2021), 11, 1, (18535), 10.1038/s41598-021-98089-3)",

author = "Glenn Hogan and Julia Eckenberger and Neegam Narayanen and Walker, \{Sidney P.\} and Claesson, \{Marcus J.\} and Mark Corrigan and Deirdre O{\textquoteright}Hanlon and Mark Tangney",

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doi = "10.1038/s41598-022-24161-1",

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T2 - Biopsy bacterial signature can predict patient tissue malignancy (Scientific Reports, (2021), 11, 1, (18535), 10.1038/s41598-021-98089-3)

AU - Hogan, Glenn

AU - Eckenberger, Julia

AU - Narayanen, Neegam

AU - Walker, Sidney P.

AU - Claesson, Marcus J.

AU - Corrigan, Mark

AU - O’Hanlon, Deirdre

AU - Tangney, Mark

PY - 2022/12

Y1 - 2022/12

UR - https://www.scopus.com/pages/publications/85141959496

U2 - 10.1038/s41598-022-24161-1

DO - 10.1038/s41598-022-24161-1

M3 - Comment/Debate

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AN - SCOPUS:85141959496

SN - 2045-2322

VL - 12

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 19592

ER -

Author Correction: Biopsy bacterial signature can predict patient tissue malignancy (Scientific Reports, (2021), 11, 1, (18535), 10.1038/s41598-021-98089-3)

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