Li, Cheng

Adjusting batch effects in microarray expression data using empirical Bayes methods

Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics

Gene expression and cancer classificationBioinformatics and Genomic Networks

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Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma

Garraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature

Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management

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Evolution of the Aging Brain Transcriptome and Synaptic Regulation

Loerch, P. M., Lu, T., Dakin, K. A., Vann, J. M., Isaacs, A., Geula, C., Wang, J., Pan, Y., Gabuzda, D. H., Li, C., et al. (2008) · PLoS ONE

Genetics, Aging, and Longevity in Model OrganismsNeuroscience and Neuropharmacology Research

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Democratizing protein language model training, sharing and collaboration

Su, J., Li, Z., Tao, T., Han, C., He, Y., Dai, F., Yuan, Q., Gao, Y., Si, T., Zhang, X., et al. (2026) · Nature Biotechnology

Machine Learning in BioinformaticsProtein Structure and Dynamics

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Kimi k1.5: Scaling Reinforcement Learning with LLMs

Kimi Team, Du, A., Gao, B., Xing, B., Jiang, C., Chen, C., Li, C., Xiao, C., Du, C., Liao, C., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

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