publications update

Author: THEVENOT Etienne

publications.Rmd

@@ -8,7 +8,7 @@ title: "Selected publications"
 
 <!-- -   Lefebvre T., Eguether T., Thévenot E., Poli A., Chu-Van E., Krasniqi P., Schmitt C., Talbi N., Nicolas G., Puy H., Junot C., Lamazière A., Castelli F., Gouya L. and Fenaille F. (2025) Nontargeted urine metabolomic analysis of acute intermittent porphyria reveals novel interactions between bile acids and heme metabolism: New promising biomarkers for the long-term management of patients. *Journal of Inherited Metabolic Disease*, **48**:1 (<https://doi.org/10.1002/jimd.12809>) -->
 
--   Karaki D., Dechaumet S., Damont A., Colsch B., Fenaille F., Souloumiac A. and Thévenot E.A. (2024) Non-Negative Matrix Factorization of SWATH DIA Data Improves Global Metabolite Identification. In, *European Signal Processing Conference (EUSIPCO)*. Lyon (<https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0002387.pdf>)
+-   Karaki D., Dechaumet S., Damont A., Colsch B., Fenaille F., Souloumiac A. and Thévenot E.A. (2024) Non-Negative Matrix Factorization of SWATH DIA Data Improves Global Metabolite Identification. *European Signal Processing Conference (EUSIPCO)*:2387-2391 (<https://doi.org/10.23919/EUSIPCO63174.2024.10715181>)
 
 -   Hajjar G., Barros Santos M.C., Bertrand-Michel J., Canlet C., Castelli F., Creusot N., Dechaumet S., Diémé B., Giacomoni F., Giraudeau P., Guitton Y., Thévenot E., Tremblay-Franco M., Junot C., Jourdan F., Fenaille F., Comte B., Pétriacq P. and Pujos-Guillot E. (2023) Scaling-up metabolomics: Current state and perspectives. *TrAC Trends in Analytical Chemistry*, **167**:117225 (<https://doi.org/10.1016/j.trac.2023.117225>)
 

publications.html

@@ -304,10 +304,10 @@ <h1 class="title toc-ignore">Selected publications</h1>
 <ul>
 <li><p>Karaki D., Dechaumet S., Damont A., Colsch B., Fenaille F.,
 Souloumiac A. and Thévenot E.A. (2024) Non-Negative Matrix Factorization
-of SWATH DIA Data Improves Global Metabolite Identification. In,
-<em>European Signal Processing Conference (EUSIPCO)</em>. Lyon (<a
-href="https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0002387.pdf"
-class="uri">https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0002387.pdf</a>)</p></li>
+of SWATH DIA Data Improves Global Metabolite Identification.
+<em>European Signal Processing Conference (EUSIPCO)</em>:2387-2391 (<a
+href="https://doi.org/10.23919/EUSIPCO63174.2024.10715181"
+class="uri">https://doi.org/10.23919/EUSIPCO63174.2024.10715181</a>)</p></li>
 <li><p>Hajjar G., Barros Santos M.C., Bertrand-Michel J., Canlet C.,
 Castelli F., Creusot N., Dechaumet S., Diémé B., Giacomoni F., Giraudeau
 P., Guitton Y., Thévenot E., Tremblay-Franco M., Junot C., Jourdan F.,