AIMC Topic: Computational Biology

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scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization.

Communications biology Feb 13, 2025
The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. Technical and biological variations across studies complicate data integration, while conventional tools o...
Single-Cell Analysis Computational Biology Humans Software Neural Networks, Computer Deep Learning
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Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction.

PLoS computational biology Feb 13, 2025
Accurately labeling large datasets is important for biomedical machine learning yet challenging while modern data augmentation methods may generate noise in the training data, which may deteriorate machine learning model performance. Existing approac...
Humans COVID-19 Algorithms Machine Learning Computational Biology Reproducibility of Results Electronic Health Records SARS-CoV-2 Female Breast Neoplasms
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Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning.

PLoS computational biology Feb 13, 2025
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management, yet existing methods are often context-specific, require a long preparation time, and non-outbreak prediction remains understudied. To address this...
ROC Curve Computational Biology Disease Outbreaks Singapore Incidence Humans Machine Learning Forecasting SARS-CoV-2 COVID-19
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Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

Science advances Feb 12, 2025
Machine learning (ML) is changing the world of computational protein design, with data-driven methods surpassing biophysical-based methods in experimental success. However, they are most often reported as case studies, lack integration and standardiz...
Machine Learning Software Models, Molecular Mutation Supervised Machine Learning Computational Biology Proteins Algorithms Protein Engineering
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A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data.

Scientific reports Feb 12, 2025
Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The coupling of these challenges leads to inaccurate res...
Oligonucleotide Array Sequence Analysis Computational Biology Databases, Genetic Humans Neural Networks, Computer Neoplasms Gene Expression Profiling Algorithms
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Molecular structure of NRG-1 protein and its impact on adult hypertension and heart failure: A new clinical Indicator diagnosis based on advanced machine learning.

International journal of biological macromolecules Feb 11, 2025
The purpose of this study was to investigate the molecular structure of NRG-1 protein and its mechanism of action in adult hypertensive heart failure. The amino acid sequence of NRG-1 protein was analyzed by bioinformatics method. High-throughput seq...
Neuregulin-1 Humans Hypertension Mutation Female Machine Learning Heart Failure Adult Biomarkers Middle Aged Male Computational Biology
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DeepInterAware: Deep Interaction Interface-Aware Network for Improving Antigen-Antibody Interaction Prediction from Sequence Data.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 11, 2025
Identifying interactions between candidate antibodies and target antigens is a key step in developing effective human therapeutics. The antigen-antibody interaction (AAI) occurs at the structural level, but the limited structure data poses a signific...
Computational Biology Antigens Antigen-Antibody Reactions Humans Deep Learning
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Current state and future prospects of Horizontal Gene Transfer detection.

NAR genomics and bioinformatics Feb 11, 2025
Artificial intelligence (AI) has been shown to be beneficial in a wide range of bioinformatics applications. Horizontal Gene Transfer (HGT) is a driving force of evolutionary changes in prokaryotes. It is widely recognized that it contributes to the ...
Artificial Intelligence Computational Biology Gene Transfer, Horizontal Humans
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Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders.

International journal of molecular sciences Feb 11, 2025
The prediction of circular RNA (circRNA)-drug associations plays a crucial role in understanding disease mechanisms and identifying potential therapeutic targets. Traditional methods often struggle to cope with the complexity of heterogeneous network...
Pharmaceutical Preparations Autoencoder Algorithms Convolutional Neural Networks Humans RNA, Circular Computational Biology Neural Networks, Computer
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Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Previous studies have shown that the immune system is involved in the placental trophoblast function and the pathological process of uterine vascular rem...
Gene Regulatory Networks Computational Biology Placenta Gene Expression Profiling ROC Curve Pre-Eclampsia Humans Machine Learning Pregnancy Female Biomarkers
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