AIMC Topic: Microsatellite Repeats

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A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms.

International journal of legal medicine Jan 8, 2025
Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic investigations, especially in the absence of a direct suspect match. Ancestry informative markers (AIMs) have been widely researched and commercially de...
Asia, Eastern Haplotypes Polymorphism, Genetic Male Chromosomes, Human, Y East Asian People Microsatellite Repeats Asian People Genetics, Population Humans DNA Fingerprinting Machine Learning
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XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.

Forensic science international. Genetics Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Humans Machine Learning Support Vector Machine Microsatellite Repeats Genetics, Population DNA Fingerprinting Decision Trees Racial Groups Boosting Machine Learning Algorithms
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An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples.

Forensic science international. Genetics Aug 9, 2024
Cannabis sativa, a globally commercialized plant used for medicinal, food, fiber production, and recreation, necessitates effective identification to distinguish legal and illegal varieties in forensic contexts. This research utilizes multivariate st...
Dronabinol Microsatellite Repeats Plant Leaves Least-Squares Analysis Italy Genetic Markers Gas Chromatography-Mass Spectrometry Cannabis Humans Machine Learning Genotype
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Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations.

Molecular ecology resources May 28, 2023
The negative genetic impacts of gene flow from domestic to wild populations can be dependent on the degree of domestication and exacerbated by the magnitude of pre-existing genetic differences between wild populations and the domestication source. Re...
Animals, Wild Genomics Microsatellite Repeats Polymorphism, Single Nucleotide Genetics, Population Machine Learning Aquaculture Genetic Introgression Animals Salmo salar North America
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Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images.

Journal of cancer research and clinical oncology May 7, 2023
BACKGROUND: Microsatellite instability (MSI) is one of the essential tumor biomarkers for cancer treatment and prognosis. The presence of more significant PD-L1 expression on the surface of tumor cells in endometrial cancer with MSI suggests that MSI...
Endometrial Neoplasms Microsatellite Repeats Humans Female Deep Learning B7-H1 Antigen Microsatellite Instability
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DeltaMSI: artificial intelligence-based modeling of microsatellite instability scoring on next-generation sequencing data.

BMC bioinformatics Mar 1, 2023
BACKGROUND: DNA mismatch repair deficiency (dMMR) testing is crucial for detection of microsatellite unstable (MSI) tumors. MSI is detected by aberrant indel length distributions of microsatellite markers, either by visual inspection of PCR-fragment ...
Microsatellite Repeats Machine Learning Microsatellite Instability High-Throughput Nucleotide Sequencing Humans Artificial Intelligence
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Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence.

Sensors (Basel, Switzerland) Nov 11, 2022
This manuscript explores the applications of deterministic artificial intelligence (DAI) in a space environment in response to unknown sensor noise and sudden changes in craft physical parameters. The current state of the art literature has proposed ...
Neural Networks, Computer Feedback Artificial Intelligence Uncertainty Microsatellite Repeats
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Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer.

Journal of surgical oncology Oct 17, 2022
BACKGROUND AND OBJECTIVES: Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)-stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon c...
Microsatellite Repeats Deep Learning Microsatellite Instability Humans Colonic Neoplasms Colorectal Neoplasms
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Comparative analysis of high- and low-level deep learning approaches in microsatellite instability prediction.

Scientific reports Jul 18, 2022
Deep learning-based approaches in histopathology can be largely divided into two categories: a high-level approach using an end-to-end model and a low-level approach using feature extractors. Although the advantages and disadvantages of both approach...
Deep Learning Microsatellite Instability Microsatellite Repeats Humans Neoplasms
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Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.

Nature communications Jun 2, 2021
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene ...
Enhancer Elements, Genetic Computational Biology Microsatellite Repeats Transcription Initiation, Genetic A549 Cells Animals Polymorphism, Genetic Transcription Initiation Site High-Throughput Nucleotide Sequencing Neurodegenerative Diseases Deep Learning Humans Promoter Regions, Genetic Base Sequence Neural Networks, Computer Mice Genome, Human
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