Akram Emdadi | Karolinska Institutet

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Articles

Article: JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY. 2022;20(2):2150035
Clinical drug response prediction from preclinical cancer cell lines by logistic matrix factorization approach.
Emdadi A; Eslahchi C
Article: BMC BIOINFORMATICS. 2021;22(1):33
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model.
Emdadi A; Eslahchi C
Article: BIOSYSTEMS. 2020;189:104081
CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application.
Yassaee Meybodi F; Emdadi A; Rezvan A; Eslahchi C
Article: FRONTIERS IN GENETICS. 2020;11:75
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization.
Emdadi A; Eslahchi C
Article: HELIYON. 2019;5(3):e01299
A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization.
Emdadi A; Ahmadi Moughari F; Yassaee Meybodi F; Eslahchi C

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