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Anna Paola Carrieri

Showing results (1-10 of 19) with videos related to

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Bioinformatics (Oxford, England)|December 9, 2015
Sampling ARG of multiple populations under complex configurations of subdivision and admixtureAnna Paola Carrieri, Filippo Utro, Laxmi Parida
BMC Genomics|January 10, 2015
Explaining evolution via constrained persistent perfect phylogenyPaola Bonizzoni, Anna Paola Carrieri, Gianluca Della Vedova, et al.
Scientific Reports|June 14, 2020
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicityLaura-Jayne Gardiner, Anna Paola Carrieri, Jenny Wilshaw, et al.
Plos One|February 23, 2022
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel diseaseLaura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, et al.
Msystems|October 10, 2024
Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food productionKristen L Beck, Niina Haiminen, Akshay Agarwal, et al.
NPJ Biofilms and Microbiomes|October 27, 2024
DGCNN approach links metagenome-derived taxon and functional information providing insight into global soil organic carbonLaura-Jayne Gardiner, Matthew Marshall, Katharina Reusch, et al.
Biometrics|April 29, 2021
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome dataLingjing Jiang, Niina Haiminen, Anna-Paola Carrieri, et al.
The Journal of Chemical Physics|July 2, 2018
Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactionsFlaviu Cipcigan, Anna Paola Carrieri, Edward O Pyzer-Knapp, et al.
Nature Methods|May 14, 2021
Challenges in benchmarking metagenomic profilersZheng Sun, Shi Huang, Meng Zhang, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 6, 2021
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock functionLaura-Jayne Gardiner, Rachel Rusholme-Pilcher, Josh Colmer, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|December 9, 2015
Sampling ARG of multiple populations under complex configurations of subdivision and admixtureAnna Paola Carrieri, Filippo Utro, Laxmi Parida
BMC Genomics|January 10, 2015
Explaining evolution via constrained persistent perfect phylogenyPaola Bonizzoni, Anna Paola Carrieri, Gianluca Della Vedova, et al.
Scientific Reports|June 14, 2020
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicityLaura-Jayne Gardiner, Anna Paola Carrieri, Jenny Wilshaw, et al.
Plos One|February 23, 2022
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel diseaseLaura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, et al.
Msystems|October 10, 2024
Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food productionKristen L Beck, Niina Haiminen, Akshay Agarwal, et al.
NPJ Biofilms and Microbiomes|October 27, 2024
DGCNN approach links metagenome-derived taxon and functional information providing insight into global soil organic carbonLaura-Jayne Gardiner, Matthew Marshall, Katharina Reusch, et al.
Biometrics|April 29, 2021
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome dataLingjing Jiang, Niina Haiminen, Anna-Paola Carrieri, et al.
The Journal of Chemical Physics|July 2, 2018
Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactionsFlaviu Cipcigan, Anna Paola Carrieri, Edward O Pyzer-Knapp, et al.
Nature Methods|May 14, 2021
Challenges in benchmarking metagenomic profilersZheng Sun, Shi Huang, Meng Zhang, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 6, 2021
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock functionLaura-Jayne Gardiner, Rachel Rusholme-Pilcher, Josh Colmer, et al.
Pageof 2