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Cited by in F6Publishing

For:	Golriz Khatami S, Mubeen S, Bharadhwaj VS, Kodamullil AT, Hofmann-Apitius M, Domingo-Fernández D. Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures. NPJ Syst Biol Appl 2021;7:40. [PMID: 34707117 DOI: 10.1038/s41540-021-00199-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Golriz Khatami S, Mubeen S, Bharadhwaj VS, Kodamullil AT, Hofmann-Apitius M, Domingo-Fernández D. Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures. NPJ Syst Biol Appl 2021;7:40. [PMID: 34707117 DOI: 10.1038/s41540-021-00199-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Buckler AJ, Marlevi D, Skenteris NT, Lengquist M, Kronqvist M, Matic L, Hedin U. In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease. Comput Biol Med 2023;152:106364. [PMID: 36525832 DOI: 10.1016/j.compbiomed.2022.106364] [Reference Citation Analysis]
2	Rickert CA, Lieleg O. Machine learning approaches for biomolecular, biophysical, and biomaterials research. Biophysics Rev 2022;3:021306. [DOI: 10.1063/5.0082179] [Reference Citation Analysis]