STAT115 2018

STAT115 2018

Xiaole Shirley Liu via YouTube Direct link

2018 STAT115 Lect 3.4. False Discovery Rate

8 of 82

8 of 82

2018 STAT115 Lect 3.4. False Discovery Rate

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STAT115 2018

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  1. 1 2018 STAT115 Lecture 1.1. Introduction to Computational Biology
  2. 2 2018 STAT115 Lecture 1.2. Introduction to Computational Biology
  3. 3 2018 STAT115 Lecture 1.3. Class Information
  4. 4 2018 STAT115 Lect 1.4. Microarrays
  5. 5 2018 STAT115 Lect 3.1. Differential Expression
  6. 6 2018 STAT115 Lect 3.2. LIMMA
  7. 7 2018 STAT115 Lect 3.3. Multiple Hypothesis Testing
  8. 8 2018 STAT115 Lect 3.4. False Discovery Rate
  9. 9 2018 STAT115 Lect 4.1. Hierarchical Clustering
  10. 10 2018 STAT115 Lect 4.2. K-means clustering
  11. 11 2018 STAT115 Lect 4.3. Batch Effect Removal
  12. 12 2018 STAT115 Lect 4.4. Gene Ontology
  13. 13 2018 STAT115 Lect 5.1. GO and GSEA
  14. 14 2018 STAT115 Lect 5.2. Unsupervised Learning
  15. 15 2018 STAT115 Lect 5.3. Principal Component Analysis
  16. 16 2018 STAT115 Lect 5.4. Supervise Learning
  17. 17 2018 STAT115 Lect 6.1. Supervised Learning
  18. 18 2018 STAT115 Lect 6.2. High Throughput Sequencing
  19. 19 2018 STAT115 Lect 6.3. FASTQC
  20. 20 2018 STAT115 Lect 6.4. Burrows-Wheeler Read Alignment
  21. 21 2018 STAT115 Lect 7.1. SAM and BED Files
  22. 22 2018 STAT115 Lect 7.2. RNA-seq Experimental Design
  23. 23 2018 STAT115 Lect 7.3. RNA-seq Alignment and QC
  24. 24 2018 STAT115 Lect 7.4. RNA-seq Quantification
  25. 25 2018 STAT115 Lect 7.5. Differential RNA-seq Analyses
  26. 26 2018 STAT115 Lect 8.1. RNA-seq Isoform Inference
  27. 27 2018 STAT115 Lect 8.2. RNA-seq Alternative Splicing
  28. 28 2018 STAT115 Lect 8.3. Single Cell RNA-seq
  29. 29 2018 STAT115 Lect 9.1. scRNA-seq t-SNE
  30. 30 2018 STAT115 Lect 9.2. scRNA-seq Data Analysis
  31. 31 2018 STAT115 Lect 9.3. Transcription Factor Motifs
  32. 32 2018 STAT115 Lect 10.1. Motif Finding Expectation Maximization
  33. 33 2018 STAT115 Lect 10.2. Motif Finding Gibbs Sampler
  34. 34 2018 STAT115 Lect 10.3. Motif Finding Motif Scores
  35. 35 2018 STAT115 Lect 10.4. Motif Finding Summary
  36. 36 2018 STAT115 Lect 11.1. ChIP-seq
  37. 37 2018 STAT115 Lect 11.2. ChIP-seq QC and Peak Calling
  38. 38 2018 STAT115 Lect 11.3. ChIP-seq Target Genes
  39. 39 2018 STAT115 Lect 11.4. ChIP-seq Integration with Expression
  40. 40 2018 STAT115 Lect 12.1. Motif Finding in ChIP-seq
  41. 41 2018 STAT115 Lect 12.2. TF Function from ChIP-seq
  42. 42 2018 STAT115 Lect 12.3. Cistrome
  43. 43 2018 STAT115 Lect 13.1. Epigenetics
  44. 44 2018 STAT115 Lect 13.2. DNA Methylation
  45. 45 2018 STAT115 Lect 13.3. DNA Methylation 2
  46. 46 2018 STAT115 Lect 13.4. Nucleosome Positioning
  47. 47 2018 STAT115 Lect 15.1. Histone Mark
  48. 48 2018 STAT115 Lect 15.2. Chromatin Dynamics
  49. 49 2018 STAT115 Lect 15.3. Chromatin Accessibility
  50. 50 2018 STAT115 Lect 16.1. HiC
  51. 51 2018 STAT115 Lect 16.2. Topologically Associated Domains
  52. 52 2018 STAT115 Lect 16.3. Loop Extrusion Model
  53. 53 2018 STAT115 Lect 16.4. Regulatory Network
  54. 54 2018 STAT115 Lect 17.1. SNP and LD
  55. 55 2018 STAT115 Lect 17.2. Association Studies
  56. 56 2018 STAT115 Lect 17.3. Biases in GWAS
  57. 57 2018 STAT115 Lect 17.4 Q&A
  58. 58 2018 STAT115 Lect 18.1. GWAS Interpret From Literature
  59. 59 2018 STAT115 Lect 18.2. GWAS Interpret From Expression
  60. 60 2018 STAT115 Lect 18.3. GWAS Interpret From Epigenetics
  61. 61 2018 STAT115 Lect 18.4. cis- vs trans-eQTL
  62. 62 2018 STAT115 Lect 19.1. Tumor Sequencing
  63. 63 2018 STAT115 Lect 19.2. Survival Analyses
  64. 64 2018 STAT115 Lect 19.3. Tumor Mutation Calling
  65. 65 2018 STAT115 Lect 19.4. Tumor Mutation Patterns
  66. 66 2018 STAT115 Lect 20.1. Targeted Therapy and Cell Line Drug Screens
  67. 67 2018 STAT115 Lect 20.2. shRNA and CRISPR Screens
  68. 68 2018 STAT115 Lect 20.3. CRISPR Screen Data Analyses
  69. 69 2018 STAT115 Lect 20.4. Drug Resistance
  70. 70 2018 STAT115 Lect 21.1. Cancer Immunotherapy
  71. 71 2018 STAT115 Lect 21.2. Immune Infiltration
  72. 72 2018 STAT115 Lect 21.3. Immune Repertoires
  73. 73 2018 STAT115 Lect 21.4. Immune Regulators
  74. 74 2018 STAT115 Lect 22.1. TCGA Epigenetic Profiling
  75. 75 2018 STAT115 Lect 22.2. Epigenetic Drugs 5AZA
  76. 76 2018 STAT115 Lect 22.3. Targeted Epigenetic Therapy
  77. 77 2018 STAT115 Lect 23.1. Deep Learning
  78. 78 2018 STAT115 Lect 23.2. Deep Learning Continued
  79. 79 2018 STAT115 Lect 24.1. Final Review
  80. 80 2018 STAT115 Lect 24.2. Levels of Bioinformatics
  81. 81 2018 STAT115 Lect 24.3. Final Exam Example Questions
  82. 82 2018 STAT115 Lect 24.4. Final Exam Example Questions 2

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