Integrating phosphoproteomic time series data into prior knowledge networks

Autor: Razzaq, Misbah

Les voies de signalisation canoniques traditionnelles aident à comprendre l'ensemble des processus de signalisation à l'intérieur de la cellule. Les données phosphoprotéomiques à grande échelle donnent un aperçu des altérations entre différ

Externí odkaz: http://www.theses.fr/2018ECDN0048/document

An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism.

Autor: Razzaq, Misbah^1,2 misbah.razzaq@inserm.fr, Iglesias, Maria Jesus^3,4, Ibrahim-Kosta, Manal^5,6, Goumidi, Louisa⁵, Soukarieh, Omar^1,2, Proust, Carole^1,2, Roux, Maguelonne², Suchon, Pierre^5,6, Boland, Anne^2,7, Daiain, Delphine^2,7, Olaso, Robert^2,7, Havervall, Sebastian⁸, Thalin, Charlotte⁸, Butler, Lynn^3,4,9, Deleuze, Jean-François^2,7,10, Odeberg, Jacob^3,4, Morange, Pierre-Emmanuel^5,6, Trégouët, David-Alexandre^1,2 david-alexandre.tregouet@u-bordeaux.fr

Publikováno v: Scientific Reports. 7/7/2021, Vol. 11 Issue 1, p1-13. 13p.

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High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential

Autor: Rodolphe Thiébaut, Hadrien Lorenzo, Razzaq Misbah, Jacob Odeber, Pierre-Emmanuel Morange, Jérôme Saracco, David-Alexandre Trégouët

Publikováno v: CBMS 2019-32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS)
CBMS 2019-32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 2019, Cordoba, Spain. pp.453-458, ⟨10.1109/CBMS.2019.00094⟩
CBMS

International audience; The identification of novel biological factors associated with thrombin generation, a key biomarker of the coagulation process, remains a relevant strategy to disentangle pathophysiological mechanisms underlying the risk of ve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3915606fe5b6bce0065babb2484792
https://hal.archives-ouvertes.fr/hal-02429302

Intégration de données de séries temporelles phosphoprotéomiques dans des réseaux de connaissances antérieurs

Autor: Razzaq, Misbah

Publikováno v: Bioinformatics [q-bio.QM]. École centrale de Nantes, 2018. English. ⟨NNT : 2018ECDN0048⟩

Traditional canonical signaling pathways help to understand overall signaling processes inside the cell. Large scale phosphoproteomic data provide insight into alterations among different proteins under different experimental settings. Our goal is to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::f8f144889e8ad434fe4ada84d64e8090
https://tel.archives-ouvertes.fr/tel-02021019/document