Search

Your search keyword '"Pitkänen, Esa"' showing total 47 results

Search Constraints

Start Over You searched for: Author "Pitkänen, Esa" Remove constraint Author: "Pitkänen, Esa" Publication Year Range Last 3 years Remove constraint Publication Year Range: Last 3 years
47 results on '"Pitkänen, Esa"'

Search Results

1. Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones

2. Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping.

3. Augment like there's no tomorrow: Consistently performing neural networks for medical imaging

4. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

5. High-Resolution Genotyping of Formalin-Fixed Tissue Accurately Estimates Polygenic Risk Scores in Human Diseases

6. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

8. Risk of Midlife Stroke After Adverse Pregnancy Outcomes: The FinnGen Study

10. Molecular features encoded in the ctDNA reveal heterogeneity and predict outcome in high-risk aggressive B-cell lymphoma

15. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women

16. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

17. ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid‐beta from amyloid PET images.

19. S175: SINGLE-CELL ANALYSIS REVEALS SOMATIC TP53 MUTATIONS EMERGE IN EARLY PROGENITOR CELLS BUT BECOME ENRICHED IN THE ERYTHROID LINEAGE IN ERCC6L2 DISEASE

20. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

22. Teaching an algorithm to identify cancer from sequence data

23. Supplementary Table 1 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

24. Supplementary Table 3 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

25. Supplementary Table 4 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

26. Supplementary Table 2 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

27. Supplementary Table 5 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

28. Supplementary Table 6 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

29. Supplementary Figures 1-19, supplementary methods and extended literature evaluation of the candidate genes from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

30. Supplementary Table 7 from Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer

32. Additional file 2 of Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

33. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

35. Combined burden and functional impact tests for cancer driver discovery using DriverPower

36. Integrative pathway enrichment analysis of multivariate omics data

37. Pathway and network analysis of more than 2500 whole cancer genomes

38. Divergent mutational processes distinguish hypoxic and normoxic tumours

39. Genomic footprints of activated telomere maintenance mechanisms in cancer

40. Tackling the translational challenges of multi-omics research in the realm of European personalised medicine: A workshop report

45. High-Resolution Genotyping of Formalin-Fixed Tissue Accurately Estimates Polygenic Risk Scores in Human Diseases

46. Novel residual neural network approach for analyzing amyloid PET scans: Associations with cerebrospinal fluid beta amyloid and episodic memory.

47. ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET images.

Catalog

Books, media, physical & digital resources