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Nafiseh Sedaghat
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2020 – today
- 2023
- [j4]Nafiseh Sedaghat, Tamon Stephen, Leonid Chindelevitch:
Speeding Up the Structural Analysis of Metabolic Network Models Using the Fredman-Khachiyan Algorithm B. J. Comput. Biol. 30(6): 678-694 (2023) - 2021
- [j3]Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch:
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis. Algorithms Mol. Biol. 16(1): 17 (2021) - [c6]Amir Hosein Safari, Nafiseh Sedaghat, Hooman Zabeti, Alpha Forna, Leonid Chindelevitch, Maxwell W. Libbrecht:
Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network. BCB 2021: 29:1-29:10 - 2020
- [c5]Hooman Zabeti, Nick C. Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell W. Libbrecht, Leonid Chindelevitch:
An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis. WABI 2020: 2:1-2:18
2010 – 2019
- 2019
- [j2]Bahareh Kashani, Mansoor Hasani Bidgoli, Seyed Abolfazl Motahari, Nafiseh Sedaghat, Mohammad Hossein Modarressi:
You are what you eat: Sequence analysis reveals how plant microRNAs may regulate the human genome. Comput. Biol. Medicine 106: 106-113 (2019) - 2018
- [j1]Nafiseh Sedaghat, Mahmood Fathy, Mohammad Hossein Modarressi, Ali Shojaie:
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1594-1604 (2018) - [c4]Nafiseh Sedaghat, Tamon Stephen, Leonid Chindelevitch:
Speeding up Dualization in the Fredman-Khachiyan Algorithm B. SEA 2018: 6:1-6:13 - 2011
- [c3]Nafiseh Sedaghat:
Mobile robot path planning by new structured multi-objective genetic algorithm. SoCPaR 2011: 79-83 - 2010
- [c2]Nafiseh Sedaghat, Hamid Tabatabaee Yazdi, Mohammad R. Akbarzadeh-Totonchi:
Pareto Front Based Realistic Soft Real-Time Task Scheduling with Multi-objective Genetic Algorithm in Unstructured Heterogeneous Distributed System. GPC 2010: 268-279 - [c1]Nafiseh Sedaghat, Hamidreza Pourreza:
An accurate fuzzy edge detection method using wavelet details subimages. ICDIP 2010: 75461Q
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