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Dive into the research topics where Ben Raphael is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution
Raphael, B. (PI)
9/24/20 → 8/31/25
Project: Research project
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CAREER: Algorithms for Next-Generation Genomics
Raphael, B. (PI)
NSF - National Science Foundation
9/1/16 → 12/31/19
Project: Research project
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Computational Characterization of Genetic Heterogeneity
Raphael, B. (PI)
9/1/16 → 8/31/19
Project: Research project
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Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction
PCAWG Evolution and Heterogeneity Working Group & SMC-Het Participants, Apr 2025, In: Nature biotechnology. 43, 4, p. 581-592 12 p., 35.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
DeST-OT: Alignment of spatiotemporal transcriptomics data
Halmos, P., Liu, X., Gold, J., Chen, F., Ding, L. & Raphael, B. J., Feb 19 2025, In: Cell Systems. 16, 2, 101160.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Inferring Cell Differentiation Maps from Lineage Tracing Data
Sashittal, P., Zhang, R. Y., Law, B. K., Schmidt, H., Strzalkowski, A., Bolondi, A., Chan, M. M. & Raphael, B. J., 2025, Research in Computational Molecular Biology - 29th International Conference, RECOMB 2025, Proceedings. Sankararaman, S. (ed.). Springer Science and Business Media Deutschland GmbH, p. 312-315 4 p. (Lecture Notes in Computer Science; vol. 15647 LNBI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Joint Imputation and Deconvolution of Gene Expression Across Spatial Transcriptomics Platforms
Zheng, H., Sarkar, H. & Raphael, B. J., 2025, Research in Computational Molecular Biology - 29th International Conference, RECOMB 2025, Proceedings. Sankararaman, S. (ed.). Springer Science and Business Media Deutschland GmbH, p. 358-361 4 p. (Lecture Notes in Computer Science; vol. 15647 LNBI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Learning Latent Trajectories in Developmental Time Series with Hidden-Markov Optimal Transport
Halmos, P., Gold, J., Liu, X. & Raphael, B. J., 2025, Research in Computational Molecular Biology - 29th International Conference, RECOMB 2025, Proceedings. Sankararaman, S. (ed.). Springer Science and Business Media Deutschland GmbH, p. 367-370 4 p. (Lecture Notes in Computer Science; vol. 15647 LNBI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution