Srivastava, Avi

Integrated analysis of multimodal single-cell data

Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · Cell

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 15,508

Dictionary learning for integrative, multimodal and scalable single-cell analysis

Hao, Y., Stuart, T., Kowalski, M. H., Choudhary, S., Hoffman, P., Hartman, A., Srivastava, A., Molla, G., Madad, S., Fernandez-Granda, C., et al. (2024) · Nature Biotechnology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 5,631

Single-cell chromatin state analysis with Signac

Stuart, T., Srivastava, A., Madad, S., Lareau, C. A., & Satija, R. (2021) · Nature Methods

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 1,769

Best practices for single-cell analysis across modalities

Heumos, L., Schaar, A. C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., Lücken, M. D., Strobl, D. C., Henao, J., Curion, F., et al. (2023) · Nature Reviews Genetics

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 1,051

Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro

Zhang, B., Srivastava, A., Mimitou, E., Stuart, T., Raimondi, I., Hao, Y., Smibert, P., & Satija, R. (2022) · Nature Biotechnology

Genomics and Chromatin DynamicsSingle-cell and spatial transcriptomics

Cited by 104