Schaffer, Leah V.

Identification and Quantification of Proteoforms by Mass Spectrometry

Schaffer, L. V., Millikin, R. J., Miller, R. M., Anderson, L. C., Fellers, R. T., Ge, Y., Kelleher, N. L., LeDuc, R. D., Liu, X., Payne, S. H., et al. (2019) · PROTEOMICS

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 209

A multi-scale map of cell structure fusing protein images and interactions

Qin, Y., Huttlin, E. L., Winsnes, C. F., Gosztyla, M. L., Wacheul, L., Kelly, M. R., Blue, S. M., Zheng, F., Chen, M., Schaffer, L. V., et al. (2021) · Nature

Bioinformatics and Genomic NetworksAdvanced Proteomics Techniques and Applications

Cited by 82

Mapping the multiscale structure of biological systems

Schaffer, L. V., & Ideker, T. (2021) · Cell Systems

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 75

State of the interactomes: an evaluation of molecular networks for generating biological insights

Wright, S. N., Colton, S., Schaffer, L. V., Pillich, R. T., Churas, C., Pratt, D., & Ideker, T. (2024) · Molecular Systems Biology

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 32

Intact-Mass Analysis Facilitating the Identification of Large Human Heart Proteoforms

Schaffer, L. V., Tucholski, T., Shortreed, M. R., Ge, Y., & Smith, L. M. (2019) · Analytical Chemistry

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 17

Back Cover: Identification and Quantification of Proteoforms by Mass Spectrometry

Schaffer, L. V., Millikin, R. J., Miller, R. M., Anderson, L. C., Fellers, R. T., Ge, Y., Kelleher, N. L., LeDuc, R. D., Liu, X., Payne, S. H., et al. (2019) · PROTEOMICS

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 9

An adversarial scheme for integrating multi-modal data on protein function

Nasser, R., Schaffer, L. V., Ideker, T., & Sharan, R. (2025) · Cell Systems

Bioinformatics and Genomic NetworksMachine Learning in Bioinformatics

Cited by 2