Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dennis M. Joshy"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible ge
Externí odkaz:
https://doaj.org/article/1c27eb1e2c054300a287025a1e243747
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/c067da6488814f22a7fe9426e6d8f8a5
A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b696e25d6b2c766b44f666f5236dc0e2
https://doi.org/10.1101/2022.05.27.493781
https://doi.org/10.1101/2022.05.27.493781
Autor:
Shara Balakrishnan, Enoch Yeung, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert
Publikováno v:
ACC
In this paper, we consider the problem of learning a predictive model for population cell growth dynamics as a function of the media conditions. We first introduce a generic data-driven framework for training operator-theoretic models to predict cell