All Stories

  1. The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models
  2. A Comprehensive Evaluation of Self Attention for Detecting Regulatory Feature Interactions
  3. The role of chromatin state in intron retention: a case study in leveraging large scale deep learning models
  4. Evidence for the role of transcription factors in the co-transcriptional regulation of intron retention
  5. Evidence for the role of transcription factors in the co-transcriptional regulation of intron retention
  6. A self-attention model for inferring cooperativity between regulatory features
  7. Splicing Factor Transcript Abundance in Saliva as a Diagnostic Tool for Breast Cancer
  8. Transcriptome Analysis of Drought-Resistant and Drought-Sensitive Sorghum (Sorghum bicolor) Genotypes in Response to PEG-Induced Drought Stress
  9. Learning protein binding affinity using privileged information
  10. Exploring the relationship between intron retention and chromatin accessibility in plants
  11. Amino acid composition predicts prion activity
  12. Phenotype prediction incorporating literature mining
  13. Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct
  14. PAIRpred: Partner‐specific prediction of interacting residues from sequence and structure
  15. SpliceGrapherXT
  16. A Bioinformatics Method for Identifying Q/N-Rich Prion-Like Domains in Proteins
  17. Identification of an intronic splicing regulatory element involved in auto-regulation of alternative splicing ofSCL33pre-mRNA
  18. Deciphering the Plant Splicing Code: Experimental and Computational Approaches for Predicting Alternative Splicing and Splicing Regulatory Elements
  19. SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST data
  20. Comparative Analysis of Serine/Arginine-Rich Proteins across 27 Eukaryotes: Insights into Sub-Family Classification and Extent of Alternative Splicing
  21. Kernel methods for Calmodulin binding and binding site prediction
  22. Multi-view prediction of protein function
  23. Experimental and computational approaches for the study of calmodulin interactions
  24. HIERARCHICAL CLASSIFICATION OF GENE ONTOLOGY TERMS USING THE GOstruct METHOD
  25. Genome-wide analysis of alternative splicing in Chlamydomonas reinhardtii
  26. A User’s Guide to Support Vector Machines
  27. Support Vector Machines and Kernels for Computational Biology
  28. Support vector clustering
  29. Integrating Information for Protein Function Prediction
  30. InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
  31. Choosing negative examples for the prediction of protein-protein interactions
  32. On probabilistic analog automata
  33. Random matrix theory for the analysis of the performance of an analog computer: a scaling theory
  34. Computation in gene networks
  35. Probabilistic analysis of a differential equation for linear programming
  36. A Theory of Complexity for Continuous Time Systems
  37. A stability based method for discovering structure in clustered data
  38. Computation in Gene Networks
  39. Macroscopic Molecular Computation with Gene Networks
  40. Computational Complexity for Continuous Time Dynamics
  41. Universality in sandpile models
  42. Design and Analysis of the NIPS2003 Challenge
  43. Sequence Motifs: Highly Predictive Features of Protein Function
  44. Detecting Stable Clusters Using Principal Component Analysis