Author

Assieh Saadatpour

Dana-Farber Cancer Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Guo‐Cheng YuaniD· 2 shared Guoji GuoiD· 2 shared Abolfazl Doostparast TorshiziiD· 1 shared Bevan Emma HuangiD· 1 shared Guoping FaniD· 1 shared Itay TiroshiD· 1 shared John F QuackenbushiD· 1 shared Junhyong KimiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Guo‐Cheng YuanORCID

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3 papers

Recent·Most cited

Machine learning-based proteogenomic data modeling identifies circulating plasma biomarkers for early detection of lung cancer

Marcela A. Johnson, Shirley Nieves‐Rodriguez, Liping Hou, Bevan Emma Huang, Assieh Saadatpour, Abolfazl Doostparast Torshizi

This study uses machine learning to model proteogenomic data and identifies plasma biomarkers for early lung cancer detection, achieving AUCs of 0.78-0.88 in predicting diagnosis up to 9 years before symptoms.

Communications Medicine · Mar 13, 2026Peer-reviewedGenetic & Genomic Medicine

Revealing the critical regulators of cell identity in the mouse cell atlas

Shengbao Suo, Qian Zhu, Assieh Saadatpour, Lijiang Fei, Guoji Guo, Guo‐Cheng Yuan

The paper identifies 202 variable gene regulatory networks and predicts essential regulators for over 800 cell types in the mouse using the mouse cell atlas data.

Cell Reports · Nov 1, 2018Peer-reviewedBioinformatics

Challenges And Emerging Directions In Single-Cell Analysis

Guo‐Cheng Yuan, Long Cai, Michael B. Elowitz, Tariq Enver, Guoping Fan, Guoji Guo, Rafael A. Irizarry, Peter V. Kharchenko, Junhyong Kim, Stuart H. Orkin, John F Quackenbush, Assieh Saadatpour, Timm Schroeder, Ramesh A. Shivdasani, Itay Tirosh

This paper discusses challenges and future directions in single-cell analysis, highlighting advances in technologies and computational methods for studying cellular heterogeneity.

Genome biology · May 8, 2017Peer-reviewedGenomics