AIMC Topic: Computational Biology
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Boundary-Aware Dual Biaffine Model for Sequential Sentence Classification in Biomedical Documents.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2024
Assigning appropriate rhetorical roles, such as "background," "intervention," and "outcome," to sentences in biomedical documents can streamline the process for physicians to locate evidence and resources for medical treatment and decision-making. Wh...
SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2024
MicroRNAs (miRNA) are endogenous non-coding RNAs, typically around 23 nucleotides in length. Many miRNAs have been founded to play crucial roles in gene regulation though post-transcriptional repression in animals. Existing studies suggest that the d...
Improving Clinical Decision Making With a Two-Stage Recommender System.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 9, 2024
Clinical decision-making is complex and time-intensive. To help in this effort, clinical recommender systems (RS) have been designed to facilitate healthcare practitioners with personalized advice. However, designing an effective clinical RS poses ch...
Representation of non-coding RNA-mediated regulation of gene expression using the Gene Ontology.
RNA biology
Oct 7, 2024
Regulatory non-coding RNAs (ncRNAs) are increasingly recognized as integral to the control of biological processes. This is often through the targeted regulation of mRNA expression, but this is by no means the only mechanism through which regulatory ...
Augmenting biomedical named entity recognition with general-domain resources.
Journal of biomedical informatics
Oct 4, 2024
OBJECTIVE: Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed multi-task learning with multiple BioNER datasets to reduce hum...
Stacking based ensemble learning framework for identification of nitrotyrosine sites.
Computers in biology and medicine
Oct 3, 2024
Protein nitrotyrosine is an essential post-translational modification that results from the nitration of tyrosine amino acid residues. This modification is known to be associated with the regulation and characterization of several biological function...
An AI Agent for Fully Automated Multi-Omic Analyses.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Oct 3, 2024
With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle bioinformatics analysis continues to grow. In response to this need, Automated Bioinformatics Analysis (AutoBA) is introduced, an autonomous AI ag...
The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis: insights from single-cell RNA sequencing and machine learning.
Frontiers in immunology
Oct 3, 2024
INTRODUCTION: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by persistent synovitis, systemic inflammation, and autoantibody production. This study aims to explore the role of lactylation in plasma cells and its impact on R...
iACP-DFSRA: Identification of Anticancer Peptides Based on a Dual-channel Fusion Strategy of ResCNN and Attention.
Journal of molecular biology
Oct 1, 2024
Anticancer peptides (ACPs) have been widely applied in the treatment of cancer owing to good safety, rational side effects, and high selectivity. However, the number of ACPs that have been experimentally validated is limited as identification of ACPs...
scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.
Interdisciplinary sciences, computational life sciences
Sep 30, 2024
Cancer is a significant global public health concern, where early detection can greatly enhance curative outcomes. Therefore, the identification of cancer cells holds significant importance as the primary method for cancer diagnosis. The advancement ...
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