The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction
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Citations
Cites
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706
Global analysis of protein localization in budding yeast
Huh, W.-K., Falvo, J. V., Gerke, L. C., Carroll, A. S., Howson, R. W., Weissman, J. S., & O'Shea, E. K. (2003) · Nature · doi:10.1038/nature02026 · Cited by 4,248
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis
Winzeler, E. A., Shoemaker, D. D., Astromoff, A., Liang, H., Anderson, K., Andre, B., Bangham, R., Benito, R., Boeke, J. D., Bussey, H., et al. (1999) · Science · doi:10.1126/science.285.5429.901 · Cited by 3,953
Global analysis of protein expression in yeast
Ghaemmaghami, S., Huh, W.-K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., O'Shea, E. K., & Weissman, J. S. (2003) · Nature · doi:10.1038/nature02046 · Cited by 3,750
A comprehensive two-hybrid analysis to explore the yeast protein interactome
Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566
Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M., Harbison, C. T., Thompson, C. M., Simon, I., et al. (2002) · Science · doi:10.1126/science.1075090 · Cited by 2,956
Cited by
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science · doi:10.1126/science.1158684 · Cited by 1,392
Detecting overlapping protein complexes in protein-protein interaction networks
Nepusz, T., Yu, H., & Paccanaro, A. (2012) · Nature Methods · doi:10.1038/nmeth.1938 · Cited by 1,245
Lim, J., Hao, T., Shaw, C., Patel, A. J., Szabó, G., Rual, J.-F., Fisk, C. J., Li, N., Smolyar, A., Hill, D. E., et al. (2006) · Cell · doi:10.1016/j.cell.2006.03.032 · Cited by 789
Franke, L., Bakel, H. V., Fokkens, L., de Jong, E. D., Egmont-Petersen, M., & Wijmenga, C. (2006) · The American Journal of Human Genetics · doi:10.1086/504300 · Cited by 476
Measuring error rates in genomic perturbation screens: gold standards for human functional genomics
Hart, T., Brown, K. R., Sircoulomb, F., Rottapel, R., & Moffat, J. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145216 · Cited by 398
Metadata
- Authors
- Jansen, R., & Gerstein, M.
- Venue
- Current Opinion in Microbiology
- Publisher
- Elsevier BV
- Published
- 2004-10
- Volume
- 7
- Issue
- 5
- Pages
- 535-545
- ISSN
- 1369-5274 (ISSN-L)
- OpenAlex
- W2021025020
- Cited by
- 177
- References
- 6
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction. https://app.cochat.ai/papers/10.1016/j.mib.2004.08.012
- The paper
- Jansen, R., & Gerstein, M. (2004). Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction. Current Opinion in Microbiology. https://doi.org/10.1016/j.mib.2004.08.012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
