Changiz Eslahchi
Ph.D. Shahid Beheshti University 1991
Facts
7 properties- Instance of
- human
- Occupation
- mathematician
- Educated at
- Shahid Beheshti University[2]
- Doctoral advisor
- Ebadollah S. Mahmoodian[3]
- Doctoral student
- Narsis Kiani[5]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Changiz Eslahchi
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-8913-3904
- OpenAlex ID
- A5035605233as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Google Knowledge Graph ID
- /g/11qnvkndzv
- Google Scholar author ID
- Dr4pU2MAAAAJ
- MR Author ID
- 634741
- Mathematics Genealogy Project ID
- 80818
- ZbMATH author ID
- eslahchi.changiz
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 16
A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information,
ADRML: anticancer drug response prediction using manifold learning,
A neural network-based method for polypharmacy side effects prediction,
An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests,
A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization,
Author Correction: ADRML: anticancer drug response prediction using manifold learning,
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model,
Classifying Breast Cancer Molecular Subtypes by Using Deep Clustering Approach
+8 more
← Authored by 16
A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information,
ADRML: anticancer drug response prediction using manifold learning,
A neural network-based method for polypharmacy side effects prediction,
An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests,
A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization,
Author Correction: ADRML: anticancer drug response prediction using manifold learning,
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model,
Classifying Breast Cancer Molecular Subtypes by Using Deep Clustering Approach
+8 more
Affiliated with 2
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