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Showing 1–3 of 3 results
Advanced filters: Author: Nanlan Xu Clear advanced filters

  • Traditional machine learning methods for drug development struggle with bioactivity prediction due to the limited number of compounds in each assay and assay incompatibilities. Feng et al. developed ActFound, a bioactivity foundation model trained by pairwise learning and meta-learning, that improves the accuracy and generalization of bioactivity prediction.

    • Bin Feng
    • Zequn Liu
    • Sheng Wang
    Research
    Nature Machine Intelligence
    Volume: 6, P: 962-974

  • Previous whole-transcriptome analysis by RNA-Seq required hundreds of thousands of cells or microgram amounts of RNA. A modification of the cDNA library preparation method now allows unbiased capture of the majority of genes expressed in a single blastomere and oocyte. cDNA sequencing on the SOLiD platform facilitates the quantitative analysis of the transcriptome complexity in a single cell.

    • Fuchou Tang
    • Catalin Barbacioru
    • M Azim Surani
    Research
    Nature Methods
    Volume: 6, P: 377-382