E-LIB Suche - Ergebnisse für: Kokla, Marietta

1

Tissue-wide metabolomics reveals wide impact of gut microbi..:

Zarei, Iman ; Koistinen, Ville M. ; Kokla, Marietta...
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

2

Changes in the metabolic profile of human male postmortem f..:

Kärkkäinen, Olli ; Kokla, Marietta ; Lehtonen, Marko...
Addiction Biology. 26 (2021) 6 - p. , 2021

Link: https://doi.org/10.1111/..

3

Associations of the serum metabolite profile with a healthy..:

Noerman, Stefania ; Kokla, Marietta ; Koistinen, Ville M....
Clinical Nutrition. 40 (2021) 5 - p. 3250-3262 , 2021

Link: https://doi.org/10.1016/..

4

"Notame": Workflow for Non-Targeted LC–MS Metabolic Profili..:

Klåvus, Anton ; Kokla, Marietta ; Noerman, Stefania...
Metabolites. 10 (2020) 4 - p. 135 , 2020

Link: https://doi.org/10.3390/..

5

Random forest-based imputation outperforms other methods fo..:

Kokla, Marietta ; Virtanen, Jyrki ; Kolehmainen, Marjukka..
BMC Bioinformatics. 20 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

6

Novel data analysis method for multicolour flow cytometry l..:

Tinnevelt, Gerjen H. ; Kokla, Marietta ; Hilvering, Bart...
Scientific Reports. 7 (2017) 1 - p. , 2017

Link: https://doi.org/10.1038/..

7

Tissue-wide metabolomics reveals wide impact of gut microbi..:

Zarei, Iman ; Koistinen, Ville M ; Kokla, Marietta...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440220/. , 2022

Link: http://www.ncbi.nlm.nih...

8

Associations of the serum metabolite profile with a healthy..:

Noerman, Stefania ; Kokla, Marietta ; Koistinen, Ville M...
Clinical nutrition. , 2021

Link: https://erepo.uef.fi/han..

9

Changes in the metabolic profile of human male postmortem f..:

Kärkkäinen, Olli ; Kokla, Marietta ; Lehtonen, Marko...
6. , 2021

Link: https://trepo.tuni.fi/ha..

10

Data analysis for non-targeted LC-MS metabolomics data : me..:

Kokla, Marietta
Publications of the University of Eastern Finland. Dissertations in Health Sciences. , 2021

Link: https://erepo.uef.fi/han..

11

"Notame": Workflow for Non-Targeted LC–MS Metabolic Profili..:

Klåvus, Anton ; Kokla, Marietta ; Noerman, Stefania...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240970/. , 2020

Link: http://www.ncbi.nlm.nih...

12

"Notame": Workflow for non-targeted LC-MS metabolic profili..:

Klåvus, Anton ; Kokla, Marietta ; Noerman, Stefania...
https://ro.ecu.edu.au/ecuworkspost2013/8097. , 2020

Link: https://ro.ecu.edu.au/ec..

13

Random forest-based imputation outperforms other methods fo..:

Kokla, Marietta ; Virtanen, Jyrki ; Kolehmainen, Marjukka..
Kokla , M , Virtanen , J , Kolehmainen , M , Paananen , J & Hanhineva , K 2019 , ' Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data : A comparative study ' , BMC Bioinformatics , vol. 20 , no. 1 , 492 . https://doi.org/10.1186/s12859-019-3110-0. , 2019

Link: https://cris.vtt.fi/en/p..

14

Novel data analysis method for multicolour flow cytometry l..:

Tinnevelt, Gerjen H ; Kokla, Marietta ; Hilvering, Bart...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511252/. , 2017

Link: http://www.ncbi.nlm.nih...

15

Novel data analysis method for multicolour flow cytometry l..:

Tinnevelt, Gerjen H ; Kokla, Marietta ; Hilvering, Bart...
2045-2322. , 2017

Link: https://dspace.library.u..