E-LIB Suche - Ergebnisse für: Wanichthanarak, Kwanjeera

1

Measurement of very low-molecular weight metabolites by tra..:

Kurilung, Alongkorn ; Limjiasahapong, Suphitcha ; Kaewnarin, Khwanta...
Journal of Pharmaceutical Analysis. 14 (2024) 5 - p. 100921 , 2024

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

2

Quantifying fecal and plasma short-chain fatty acids in hea..:

Manokasemsan, Weerawan ; Jariyasopit, Narumol ; Poungsombat, Patcha...
Computational and Structural Biotechnology Journal. 23 (2024) - p. 2163-2172 , 2024

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

3

Data processing solutions to render metabolomics more quant..:

Wanichthanarak, Kwanjeera ; In-on, Ammarin ; Fan, Sili...
GigaScience. 13 (2024) - p. , 2024

Link: https://doi.org/10.1093/..

4

Revisiting chloroplast genomic landscape and annotation tow..:

Wanichthanarak, Kwanjeera ; Nookaew, Intawat ; Pasookhush, Phongthana...
BMC Plant Biology. 23 (2023) 1 - p. , 2023

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

5

Correction: GC × GC-TOFMS metabolomics analysis identifies ..:

Duangkumpha, Kassaporn ; Jariyasopit, Narumol ; Wanichthanarak, Kwanjeera...
Journal of Biological Chemistry. 299 (2023) 12 - p. 105422 , 2023

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

6

Integrative physiological and metabolomics study reveals ad..:

Shunkao, Suchawadee ; Theerakulpisut, Piyada ; Wanichthanarak, Kwanjeera..
Plant Growth Regulation. 100 (2022) 1 - p. 181-196 , 2022

Link: https://doi.org/10.1007/..

7

GC × GC-TOFMS metabolomics analysis identifies elevated lev..:

Duangkumpha, Kassaporn ; Jariyasopit, Narumol ; Wanichthanarak, Kwanjeera...
Journal of Biological Chemistry. 298 (2022) 10 - p. 102445 , 2022

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

8

CRISP: a deep learning architecture for GC × GC–TOFMS conto..:

Mathema, Vivek Bhakta ; Duangkumpha, Kassaporn ; Wanichthanarak, Kwanjeera...
Briefings in Bioinformatics. 23 (2022) 2 - p. , 2022

Link: https://doi.org/10.1093/..

9

Predicting lupus membranous nephritis using reduced picolin..:

Anekthanakul, Krittima ; Manocheewa, Siriphan ; Chienwichai, Kittiphan...
iScience. 24 (2021) 11 - p. 103355 , 2021

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

10

Deciphering rice metabolic flux reprograming under salinity..:

Wanichthanarak, Kwanjeera ; Boonchai, Chuthamas ; Kojonna, Thammaporn...
Computational and Structural Biotechnology Journal. 18 (2020) - p. 3555-3566 , 2020

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

11

ThRSDB: a database of Thai rice starch composition, molecul..:

Wanichthanarak, Kwanjeera ; Thitisaksakul, Maysaya
Database. 2020 (2020) - p. , 2020

Link: https://doi.org/10.1093/..

12

Deep metabolome: Applications of deep learning in metabolom..:

Pomyen, Yotsawat ; Wanichthanarak, Kwanjeera ; Poungsombat, Patcha...
Computational and Structural Biotechnology Journal. 18 (2020) - p. 2818-2825 , 2020

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

13

Granule morphological and structural variability of Thai ce..:

Thitisaksakul, Maysaya ; Sangwongchai, Wichian ; Mungmonsin, Urairat...
Cereal Chemistry. 98 (2020) 3 - p. 492-506 , 2020

Link: https://doi.org/10.1002/..

14

Mitochondrial oxidative stress-induced transcript variants ..:

Nyunt, Tun ; Britton, Monica ; Wanichthanarak, Kwanjeera...
Free Radical Biology and Medicine. 143 (2019) - p. 25-46 , 2019

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

15

Accounting for biological variation with linear mixed-effec..:

Wanichthanarak, Kwanjeera ; Jeamsripong, Saharuetai ; Pornputtapong, Natapol.
Computational and Structural Biotechnology Journal. 17 (2019) - p. 611-618 , 2019

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