Profil

BARVAUX Sybille

Main Referenced Co-authors
DEL SOL MESA, Antonio  (2)
Hodar, Javier Arcos (1)
JUNG, Sascha (1)
OKAWA, Satoshi  (1)
SOUDY, Mohamed  (1)
Main Referenced Keywords
scRNA-seq (2); aging (1); Biochemistry (1); Cell Biology (1); cell engineering (1);
Main Referenced Disciplines
Life sciences: Multidisciplinary, general & others (5)

Publications (total 5)

The most downloaded
84 downloads
Hodar, J. A.* , JUNG, S., SOUDY, M., BARVAUX, S., & DEL SOL MESA, A.*. (09 September 2024). The cell rejuvenation atlas: leveraging network biology to identify master regulators of rejuvenation strategies. Aging, null. doi:10.18632/aging.206105 https://hdl.handle.net/10993/62209

The most cited

2 citations (Scopus®)

Hodar, J. A.* , JUNG, S., SOUDY, M., BARVAUX, S., & DEL SOL MESA, A.*. (09 September 2024). The cell rejuvenation atlas: leveraging network biology to identify master regulators of rejuvenation strategies. Aging, null. doi:10.18632/aging.206105 https://hdl.handle.net/10993/62209

Hodar, J. A.* , JUNG, S., SOUDY, M., BARVAUX, S., & DEL SOL MESA, A.*. (09 September 2024). The cell rejuvenation atlas: leveraging network biology to identify master regulators of rejuvenation strategies. Aging, null. doi:10.18632/aging.206105
Peer Reviewed verified by ORBi

BARVAUX, S. (2024). Single-cell based computational approaches to guide cellular regeneration and rejuvenation strategies [Postdoctoral thesis & other thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60580

BARVAUX, S. (2024). Single-cell based computational approaches to guide cellular regeneration and rejuvenation strategies [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60567

BARVAUX, S. (2024). PhD_Dissertation_BarvauxSybille_References [Doctoral thesis, Unilu - Université du Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60568

BARVAUX, S.* , OKAWA, S., & DEL SOL MESA, A.*. (2024). SinCMat: A single-cell-based method for predicting functional maturation transcription factors. Stem Cell Reports. doi:10.1016/j.stemcr.2023.12.006
Peer Reviewed verified by ORBi

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