AIMC Topic: Adenosine
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TransRM: Weakly supervised learning of translation-enhancing N6-methyladenosine (mA) in circular RNAs.
International journal of biological macromolecules
Feb 27, 2025
As our understanding of Circular RNAs (circRNAs) continues to expand, accumulating evidence has demonstrated that circRNAs can interact with microRNAs and RNA-binding proteins to modulate gene expression. More importantly, a subset of circRNAs has be...
Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer.
Scientific reports
Feb 18, 2025
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year overall survival rate. There is increasing evidence showing that RNA modification regulators such as m1A, m5C, m6A, and m7G play crucial roles in tumor...
Feedback regulation of mA modification creates local auxin maxima essential for rice microsporogenesis.
Developmental cell
Jan 13, 2025
N-methyladenosine (mA) RNA modification and its effectors control various plant developmental processes, yet whether and how these effectors are transcriptionally controlled to confer functional specificity so far remain elusive. Herein, we show that...
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer.
Scientific reports
Dec 28, 2024
Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in incidence among youngsters. Although the advent of the immunotherapy era has profoundly improved patient outcomes, not all patients benefit from immu...
RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders.
International journal of molecular sciences
Dec 3, 2024
Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical symptoms. Among these conditions, bipolar disorder, schizophrenia, and schizoaffective disorder are particularly difficult to distinguish, as they share...
Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in Tuberculosis immunopathology using machine learning.
Scientific reports
Dec 2, 2024
Tuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious disease involving intricate immunological molecules, diverse signaling pathways, and multifaceted immune processes. N6-methyladenosine (m6A), a critica...
A combined deep learning framework for mammalian m6A site prediction.
Cell genomics
Nov 20, 2024
N-methyladenosine (m6A) is the most prevalent chemical modification in eukaryotic mRNAs and plays key roles in diverse cellular processes. Precise localization of m6A sites is thus critical for characterizing the functional roles of m6A in various co...
Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection.
Nature communications
Aug 21, 2024
We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning (IL) technique to improve the basecalling of modification-rich sequences, which are usuall...
Deep learning based method for predicting DNA N6-methyladenosine sites.
Methods (San Diego, Calif.)
Aug 6, 2024
DNA N6 methyladenine (6mA) plays an important role in many biological processes, and accurately identifying its sites helps one to understand its biological effects more comprehensively. Previous traditional experimental methods are very labor-intens...
Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Vasodilator Agents
Purines
Coronary Circulation
Male
Body Weight
Middle Aged
Image Interpretation, Computer-Assisted
Female
Case-Control Studies
Pyrazoles
Predictive Value of Tests
Risk Factors
Logistic Models
Coronary Artery Disease
Aged
Humans
Obesity
Myocardial Perfusion Imaging
Artificial Intelligence
Adenosine
Algorithms
Adenosine A2 Receptor Agonists
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