All Stories

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