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Performance improvement for a 2D convolutional neural network by using SSC encoding on protein-protein interaction tasks.
BMC bioinformatics
Apr 12, 2021
BACKGROUND: The interactions of proteins are determined by their sequences and affect the regulation of the cell cycle, signal transduction and metabolism, which is of extraordinary significance to modern proteomics research. Despite advances in expe...
Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging.
EBioMedicine
Apr 12, 2021
BACKGROUND: artificial intelligence (AI) for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging (WSI) is lacking. We aim to establish an AI chronic rhinosinusitis evaluation platform 2.0 (AICEP 2.0) to obtain the proportion of infl...
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data.
Scientific reports
Apr 9, 2021
A key challenge to gaining insight into complex systems is inferring nonlinear causal directional relations from observational time-series data. Specifically, estimating causal relationships between interacting components in large systems with only s...
Improving protein domain classification for third-generation sequencing reads using deep learning.
BMC genomics
Apr 9, 2021
BACKGROUND: With the development of third-generation sequencing (TGS) technologies, people are able to obtain DNA sequences with lengths from 10s to 100s of kb. These long reads allow protein domain annotation without assembly, thus can produce impor...
Clinical validation of a commercially available deep learning software for synthetic CT generation for brain.
Radiation oncology (London, England)
Apr 7, 2021
BACKGROUND: Most studies on synthetic computed tomography (sCT) generation for brain rely on in-house developed methods. They often focus on performance rather than clinical feasibility. Therefore, the aim of this work was to validate sCT images gene...
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images.
Medical image analysis
Apr 6, 2021
Automatic polyp detection has been proven to be crucial in improving the diagnosis accuracy and reducing colorectal cancer mortality during the precancerous stage. However, the performance of deep neural networks may degrade severely when being deplo...
ncRFP: A Novel end-to-end Method for Non-Coding RNAs Family Prediction Based on Deep Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 6, 2021
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular biological processes and disease pathogenesis. High throughput techniques have produced a large number of ncRNAs whose function remains unknown. Since ...
FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space.
Molecules (Basel, Switzerland)
Apr 3, 2021
The question of molecular similarity is core in cheminformatics and is usually assessed via a comparison based on vectors of properties or molecular fingerprints. We recently exploited variational autoencoders to embed 6M molecules in a chemical spa...
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology.
Cells
Apr 2, 2021
Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Art...
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