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Iscience
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October 29, 2020
Tumor Phylogeny Topology Inference via Deep Learning
Erfan Sadeqi Azer, Mohammad Haghir Ebrahimabadi, Salem Malikić, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
July 23, 2021
Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices
Salem Malikić, Farid Rashidi Mehrabadi, Erfan Sadeqi Azer, et al.
Nature Computational Science
|
January 4, 2024
Fast intratumor heterogeneity inference from single-cell sequencing data
Can Kızılkale, Farid Rashidi Mehrabadi, Erfan Sadeqi Azer, et al.
Bioinformatics (Oxford, England)
|
July 14, 2020
PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem
Erfan Sadeqi Azer, Farid Rashidi Mehrabadi, Salem Malikić, et al.
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of 1
Search research articles
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Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Iscience
|
October 29, 2020
Tumor Phylogeny Topology Inference via Deep Learning
Erfan Sadeqi Azer, Mohammad Haghir Ebrahimabadi, Salem Malikić, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
July 23, 2021
Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices
Salem Malikić, Farid Rashidi Mehrabadi, Erfan Sadeqi Azer, et al.
Nature Computational Science
|
January 4, 2024
Fast intratumor heterogeneity inference from single-cell sequencing data
Can Kızılkale, Farid Rashidi Mehrabadi, Erfan Sadeqi Azer, et al.
Bioinformatics (Oxford, England)
|
July 14, 2020
PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem
Erfan Sadeqi Azer, Farid Rashidi Mehrabadi, Salem Malikić, et al.
Page
of 1