What does it mean to be a bioinformatician?
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Sharing experience of working in the field of bioinformatics.
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What does it mean to be a bioinformatician?
- 5. Com puter Software Engineering MSc Science Land Algorithms canyon City of Data Mining Software Development area Other Stuff Wastelands
- 6. Pure Math Endless Ocean The Dark Forest of Biology Statistics Sea Economics World Let it be chemistry here Com puter Science Land Algorithms canyon City of Data Mining Software Development area Other Stuff Wastelands
- 7. Algorithms canyon Pure Math Endless Ocean Statistics Sea Economics World Let it be chemistry here Com puter Science Land The Dark Forest of Biology City of Data Mining Software Development area Other Stuff Wastelands
- 8. Pure Math Endless Ocean Statistics Sea Economics World Let it be chemistry here Com puter Science Land The Dark Forest of Biology Algorithms canyon City of Data Mining Software Development area Other Stuff Wastelands
- 9. Pure Math Endless Ocean Statistics Sea Economics World Let it be chemistry here Com puter Science Land The Dark Forest of Biology Algorithms canyon City of Data Mining Software Development area Other Stuff Wastelands
- 10. Pure Math Endless Ocean Statistics Sea Economics World Let it be chemistry here Com puter Science Land The Dark Forest of Biology Algorithms canyon City of Data Mining Software Development area Other Stuff Wastelands DIMA’S INTERESTS LAND
- 11. WELCOME TO DIMA’S INTERESTS LAND
- 12. WELCOME TO DIMA’S INTERESTS LAND AUTOIMMUNITY FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS MEDICAL IMAGING
- 13. WELCOME TO DIMA’S INTERESTS LAND AUTOIMMUNITY FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS MEDICAL IMAGING
- 14. AUTOIMMUNITY
- 15. Sample
- 16. ProtoarraySample
- 17. ProtoarraySample
- 19. AUTOIMMUNITY AIRE-Deficient Patients Harbor Unique High-Affinity Disease-Ameliorating Autoantibodies (Meyer et al. 2016) The Serological Autoimmunome of AIRE- deficiency is Large and Comprises Two Distinct Subgroups Dmytro Fishman1, Kai Kisand2, Christina Hertel3, Mike Rothe3, Anu Remm2, Maire Pihlap2, Priit Adler1, Hedi Peterson1, Jaak Vilo1, Aleksandr Peet4, Antonella Meloni5, Katarina Trebusak Podkrajsek6, Tadej Battelino6, Øyvind Bruserud7, Annette SB Wolff7, Eystein S Husebye7, Nicolas Kluger8, Kai Krohn8, Annamari Ranki8, Adrian Hayday9, Pärt Peterson2
- 20. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS MEDICAL IMAGING AUTOIMMUNITY
- 21. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS MEDICAL IMAGING AUTOIMMUNITY
- 28. Input Sequence A A A G C C T …AACCTGTTACAAACCG… …AGCCTGTTACAAACCG… ON OFF ON OFF FUNCTIONAL GENOMICS
- 29. Input Sequence A A A G C C T A C T G Convolution Convolution Layer #1 Convolution Layer #2 FC Layer Deep learning for computational biology Angermueller et al. Predicted Output …AACCTGTTACAAACCG… …AGCCTGTTACAAACCG… ON OFF ON OFF 87% 13% FUNCTIONAL GENOMICS
- 30. A/G? In collaboration with Kaur Alasoo (kauralasoo@gmail.com) & Yurii Toma (yurii.toma@gmail.com) FUNCTIONAL GENOMICS
- 35. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGING AUTOIMMUNITY
- 36. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL IMAGINGMEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? AUTOIMMUNITY
- 37. MEDICAL IMAGING
- 38. Disease Stage Prediction Diabetic Retinopathy Sources of images are: kaggle.com and nature.com MEDICAL IMAGING
- 39. Heart Volume Prediction Heart Failure Sources of images are: kaggle.com and nature.com Disease Stage Prediction Diabetic Retinopathy MEDICAL IMAGING
- 40. Cell Segmentation Heart Volume Prediction Heart Failure Disease Stage Prediction Diabetic Retinopathy MEDICAL IMAGING
- 41. Cell Segmentation Heart Volume Prediction Heart Failure Disease Stage Prediction Diabetic Retinopathy Dmytro Fishman, Ardi Tampuu, William Jones, Elizabeth Bell, Ilya Kuzovkin, Tanel Pärnamaa, Leopold Parts, Jaak Vilo, Raul Vicente Mari-Liis Allikivi, Elena Sügis, Dmytro Fishman Anna Leontjeva, Ilya Kuzovkin, Dmytro Fishman MEDICAL IMAGING
- 43. ???
- 47. 0 1
- 48. 0 1
- 49. 0 1
- 50. 0 1
- 51. 0 1 90%
- 52. 0 1 Dermatologist-level classification of skin cancer with deep neural networks (Esteva et al., 2017) 90% VS 14%
- 53. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGING AUTOIMMUNITY
- 54. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGING AUTOIMMUNITY
- 55. MEDICAL SIGNAL
- 56. MEDICAL SIGNAL
- 58. Neuroimaging EEG Signal MEDICAL SIGNAL
- 61. Neuroimaging EEG Signal Data Machine Learning MEDICAL SIGNAL
- 62. MEDICAL SIGNAL Neuroimaging EEG Signal Data Machine Learning
- 63. MEDICAL SIGNAL Neuroimaging EEG Signal Data Machine Learning Anna Leontjeva, Ilya Kuzovkin, Dmytro Fishman https://github.com/kuz/BrainActivity3D
- 64. Cardiogram Data Machine Learning P( ) = .92 Cardiograph
- 65. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGINGMEDICAL SIGNAL AUTOIMMUNITY
- 66. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGINGMEDICAL SIGNAL AUTOIMMUNITY
- 67. AI
- 70. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL SIGNAL TEACHING AND GIVING TALKS A/G? MEDICAL IMAGINGMEDICAL SIGNAL AUTOIMMUNITY
- 71. WELCOME TO DIMA’S INTERESTS LAND FUNCTIONAL GENOMICS MEDICAL IMAGING TEACHING AND GIVING TALKS MEDICAL SIGNAL A/G? AUTOIMMUNITY