Recomb2019 - vanhoan310/tips GitHub Wiki

  1. Biological Sequence Modeling with Convolutional Kernel Networks https://www.biorxiv.org/content/biorxiv/early/2019/01/29/217257.full.pdf

  2. netNMF-sc: Leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis https://www.biorxiv.org/content/biorxiv/early/2019/02/08/544346.full.pdf

  3. MethCP: Differentially Methylated Region Detection with Change Point Models https://www.biorxiv.org/content/biorxiv/early/2018/10/29/265116.full.pdf

  4. Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape https://www.biorxiv.org/content/biorxiv/early/2019/01/31/536730.1.full.pdf

  5. On the Complexity of Sequence to Graph Alignment https://www.biorxiv.org/content/biorxiv/early/2019/01/17/522912.full.pdf

  6. Tumor Copy Number Deconvolution Integrating Bulk and Single-Cell Sequencing Data https://www.biorxiv.org/content/biorxiv/early/2019/01/16/519892.full.pdf

  7. Inferring tumor evolution from longitudinal samples https://www.biorxiv.org/content/biorxiv/early/2019/01/22/526814.full.pdf

  8. De novo clustering of long-read transcriptome data using a greedy, quality-value based algorithm https://www.biorxiv.org/content/biorxiv/early/2018/11/06/463463.full.pdf

  9. GRep: Gene Set Representation via Gaussian Embedding https://www.biorxiv.org/content/biorxiv/early/2019/01/13/519033.full.pdf

  10. Accurate sub-population detection and mapping across single cell experiments with PopCorn https://www.biorxiv.org/content/biorxiv/early/2018/12/28/485979.full.pdf

  11. Deep learning of mutation-gene-drug relations from the literature https://www.researchgate.net/publication/322705308_Deep_learning_of_mutation-gene-drug_relations_from_the_literature