Gould, Joshua

A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles

Subramanian, A., Narayan, R., Corsello, S. M., Peck, D. D., Natoli, T. E., Lu, X., Gould, J., Davis, J. F., Tubelli, A. A., Asiedu, J. K., et al. (2017) · Cell

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 3,515

Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion

Straussman, R., Morikawa, T., Shee, K., Barzily-Rokni, M., Qian, Z. R., Du, J., Davis, A., Mongare, M. M., Gould, J., Frederick, D. T., et al. (2012) · Nature

Melanoma and MAPK PathwaysCancer Cells and Metastasis

Cited by 1,771

High-definition spatial transcriptomics for in situ tissue profiling

Vickovic, S., Eraslan, G., Salmén, F., Klughammer, J., Stenbeck, L., Schapiro, D., Äijö, T., Bonneau, R., Bergenstråhle, L., Navarro, J. F., et al. (2019) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,150

Widespread Genetic Heterogeneity in Multiple Myeloma: Implications for Targeted Therapy

Lohr, J. G., Stojanov, P., Carter, S. L., Cruz-Gordillo, P., Lawrence, M. S., Auclair, D., Sougnez, C., Knoechel, B., Gould, J., Saksena, G., et al. (2014) · Cancer Cell

Multiple Myeloma Research and TreatmentsCancer Genomics and Diagnostics

Cited by 988

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

Schiebinger, G., Shu, J., Tabaka, M., Cleary, B., Subramanian, V., Solomon, A., Gould, J., Liu, S., Lin, S., Berube, P., et al. (2019) · Cell

Single-cell and spatial transcriptomicsPluripotent Stem Cells Research

Cited by 829

Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset

Seashore-Ludlow, B., Rees, M. G., Cheah, J. H., Cokol, M., Price, E. V., Coletti, M. E., Jones, V., Bodycombe, N. E., Soule, C. K., Gould, J., et al. (2015) · Cancer Discovery

Computational Drug Discovery MethodsCancer Genomics and Diagnostics

Cited by 813

Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment

Hwang, W. L., Jagadeesh, K. A., Guo, J. A., Hoffman, H. I., Yadollahpour, P., Reeves, J. W., Mohan, R., Drokhlyansky, E., Van Wittenberghe, N., Ashenberg, O., et al. (2022) · Nature Genetics

Pancreatic and Hepatic Oncology ResearchSingle-cell and spatial transcriptomics

Cited by 426

Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer

Cheung, H. W., Cowley, G. S., Weir, B. A., Boehm, J. S., Rusin, S., Scott, J. A., East, A., Ali, L. D., Lizotte, P. H., Wong, T. C., et al. (2011) · Proceedings of the National Academy of Sciences

Ovarian cancer diagnosis and treatmentChromatin Remodeling and Cancer

Cited by 423

High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines

Yu, C., Mannan, A. M., Yvone, G. M., Ross, K. N., Zhang, Y.-L., Marton, M. A., Taylor, B. R., Crenshaw, A., Gould, J. Z., Tamayo, P., et al. (2016) · Nature Biotechnology

Cancer Genomics and DiagnosticsComputational Drug Discovery Methods

Cited by 362

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

Schiebinger, G., Shu, J., Tabaka, M., Cleary, B., Subramanian, V., Solomon, A., Gould, J., Liu, S., Lin, S., Berube, P., et al. (2019) · Cell

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 139

Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView

Kudo, T., Meireles, A. M., Moncada, R., Chen, Y., Wu, P., Gould, J., Hu, X., Kornfeld, O., Jesudason, R., Foo, C., et al. (2025) · Nature Biotechnology

Single-cell and spatial transcriptomicsCRISPR and Genetic Engineering

Cited by 74