24 results on '"Salas, Lucas A"'
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2. The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows
3. Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity
4. Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining
5. Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis
6. Normal gastric tissueHelicobacter pyloriinfection is associated with epigenetic age acceleration, increased mitotic tick rate, tissue cell composition, and Natural Killer cell methylation alterations
7. Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling Approach
8. Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
9. Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer Prognostication
10. Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images
11. Development of Biologically Interpretable Multimodal Deep Learning Model for Cancer Prognosis Prediction
12. Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers
13. Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling
14. MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Network, Inspired by Capsule Networks
15. DNA hypohydroxymethylation in pediatric central nervous system tumors is associated with CTCF binding sites and reduced survival
16. PyMethylProcess - highly parallelized preprocessing for DNA methylation array data
17. PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology
18. Epigenetic field cancerization in breast cancer using subject-matched tumor, ipsilateral-normal, and contralateral-normal tissues
19. Prediagnostic breast milk DNA methylation alterations in women who develop breast cancer
20. MethylNet: An Automated and Modular Deep Learning Approach for DNA Methylation Analysis
21. PyMethylProcess - highly parallelized preprocessing for DNA methylation array data
22. Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data
23. Tracing human stem cell lineage during development using DNA methylation
24. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: Findings from the Pregnancy and Childhood Epigenetics (PACE) consortium
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