research <p>DNA phenotyping: current application in forensic science</p>
DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
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870-900 / 1000+ results research Evaluation of noninvasive biospecimens for transcriptome studies
Hair follicles and urine cell pellets are promising for transcriptome studies.
research Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development
A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.
research Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids
The conclusion is that analyzing RNA from skin oils is a promising way to understand skin diseases.
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Performance exploration of multi-gene panels of alopecia areata susceptibility and drug-binding targets
research Discovery and Comprehensive Analysis of miRNAs from Liaoning Cashmere Goat Skin during Anagen
Certain miRNAs are linked to Cashmere goat hair quality.
research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research Анализ комплекса информационных параметров, характеризующих состояние печени собак репродуктивного возраста при патологиях
HOTTIP and miR-10b may be targeted to improve glioma treatment by reducing resistance to chemotherapy.
research Rapid Genetic Analysis of Epithelial-Mesenchymal Signaling During Hair Regeneration
The document's conclusion cannot be provided because the document is not available for analysis.
research OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research The temptation of large numbers
Large databases in research can lead to misleading conclusions due to biases and chance findings; researchers should analyze data more rigorously.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy
research Dimensions of drug information
A new method organizes drug information to improve data use and create a comprehensive drug database.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Analysis of gene expression patterns and levels in maize hybrids and their parents
Maize hybrids show better early growth due to complex gene interactions from their parent strains.
research Integrated Analysis of Methylome and Transcriptome Changes Reveals the Underlying Regulatory Signatures Driving Curly Wool Transformation in Chinese Zhongwei Goats
PDGFC gene may help select goats with desirable curly wool traits.
research Non-invasive evaluation of advanced glycation end products in hair as early markers of diabetes and aging
Hair analysis can effectively detect diabetes and aging markers.
research Distinguishing Mouse Strains by Proteomic Analysis of Pelage Hair
Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.
research CSI on steroids
Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus)
The study improved understanding of gene roles in cashmere goat hair growth, aiding future cashmere production.
research Hair analysis based on medical history and spatial-temporal data
Hair analysis can provide insights into a person's medical history and location over time.
research rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database
rPanglaoDB helps study rare cell types by merging RNA data, confirming fibrocytes' role in healing.
research Lentiviral Arrays for Live-cell Dynamic Monitoring of Gene and Pathway Activity During Stem Cell Differentiation
The lentiviral array can monitor and predict gene activity during stem cell differentiation.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.