106 results on '"Turki, Turki"'
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2. Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through Deep Transfer Learning Approach
3. End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
4. A novel interpretable deep transfer learning combining diverse learnable parameters for improved prediction of single-cell gene regulatory networks
5. Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction
6. Tensor decomposition discriminates tissues using scATAC-seq
7. PDD-Net: Plant Disease Diagnoses Using Multilevel and Multiscale Convolutional Neural Network Features
8. TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction
9. Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer Detection
10. Advanced Tensor Decomposition-Based Integrated Analysis of Protein-Protein Interaction with Cancer Gene Expression Can Improve Coincidence with Clinical Labels
11. Reverse Engineering Gene Regulatory Networks Using Graph Mining
12. Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods
13. Advanced tensor decomposition-based integrated analysis of protein-protein interaction with cancer gene expression can improve coincidence with clinical labels
14. GENEvaRX: A Novel AI-Driven Method and Web Tool Can Identify Critical Genes and Effective Drugs for Lichen Planus
15. A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells
16. A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
17. Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods
18. Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques
19. Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools
20. Tensor Decomposition Discriminates Tissues Using scATAC-seq
21. Novel Hate Speech Detection Using Word Cloud Visualization and Ensemble Learning Coupled with Count Vectorizer
22. Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases
23. Automatic Classification of Melanoma Skin Cancer with Deep Convolutional Neural Networks
24. Integrated Analysis of Tissue-specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases
25. A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells
26. Improved Deep Convolutional Neural Networks via Boosting for Predicting the Quality of In Vitro Bovine Embryos
27. Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods
28. A Learning Framework to Improve Unsupervised Gene Network Inference
29. Seed germination characteristics of some medicinally important desert plants from the Arabian Peninsula
30. Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
31. Tensor decomposition- and principal component analysis-based unsupervised feature extraction to select more reasonable differentially expressed genes: Optimization of standard deviation versus state-of-art methods
32. A New Approach to Link Prediction in Gene Regulatory Networks
33. Effects of Collagen–Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction
34. A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
35. Top-k Parametrized Boost
36. Weighted Maximum Variance Dimensionality Reduction
37. Effects of the collagen–glycosaminoglycan mesh on gene expression as determined by using principal component analysis-based unsupervised feature extraction
38. Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis
39. The risk of tuberculosis infection in 410 Saudipatients receiving adalimumab therapy
40. Tensor-decomposition–based unsupervised feature extraction in single-cell multiomics data analysis
41. A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
42. Unsupervised tensor decomposition-based method to extract candidate transcription factors as histone modification bookmarks in post-mitotic transcriptional reactivation
43. Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
44. Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application
45. Novel method for the prediction of drug-drug Interaction based on gene expression profiles
46. End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
47. Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction
48. Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Efffective Drugs for SARS-CoV-2 Infection
49. An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data
50. Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data
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