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MetabolomicsCoupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma

A discovery-based lipid profiling study of serum samples from a cohort that included patients with clear cell Renal Cell Carcinoma (ccRCC) stage I, II, III, and IV (n=112) and controls (n=52) was performed using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass spec...

2020-11-20 | MTBLS1839 | MetaboLights
MetabolomicsMetabolic Biomarkers of Treatment-Resistant Schizophrenia and Cognitive Correlates: Insights from a Machine Learning

Metabolic Biomarkers of Treatment-Resistant Schizophrenia and Cognitive Correlates: Insights from a Machine Learning

2027-02-05 | MTBLS14005 | MetaboLights
ProteomicsCancer tissue classification using supervised machine learning applied to MALDI mass spectrometry imaging
With the current clinical available technologies, not all cancers are staged accurately. Because of this a large percentage of patients are misclassified before treatment, leading to under or over treatment. Therefore, a classification system based on the molecular feature is required to deter-mine ...
ORGANISM(S): Homo sapiens (Human) 
2022-02-17 | PXD025594 | Pride
Machine learning (ml) Matrix assisted laser desorption/ionization mass spectrometry imaging (maldi msi) Lymph node metastasis (lnm) Endometrial cancer (ec) Colorectal cancer (crc) 
TranscriptomicscaArray_golub-00095: Diffuse large B-cell lymphoma outcome prediction
Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical...
ORGANISM(S): Homo sapiens 
2015-05-15 | E-GEOD-68895 | biostudies-arrayexpress
ProteomicsPeptideForest: Semi-supervised machine learning integrating multiple search engines for peptide identification
We introduce PeptideForest, a semi-supervised machine learning approach that integrates the assignment of peptides to mass spectra from multiple algorithms to train a random forest classifier, thereby combining the results from different search engines. PeptideForest increases the number of peptide-...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2025-06-02 | PXD056915 | Pride
Human Machine learning E. coli Statistical post-processing Peptide identification 
ProteomicsCancer tissue classication using machine learning applied to MALDI MSI and high resolution H&E stained images
To identify a panel of m/z markers for the early detection of colorectal cancer (CRC). Identication of a molecular pattern that can distinguish the primary tumours of colorectal cancer with lymph node metastasis compared to those without. Using MALDI MSI data,we developed and validated a machine lea...
ORGANISM(S): Homo sapiens (Human) 
2022-02-15 | PXD019653 | Pride
Crc colorectal cancer machine learning maldi msi matrix assisted laser desorption/ionisation mass spectrometry imaging 
ModelsRong2020 - Grover-embedding: A self-supervised Graph Neural Network for molecular representation
This is the base grover model. GROVER is a self-supervised Graph Neural Network for molecular representation pretrained with 10 million unlabelled molecules from ChEMBL and ZINC15, and has been fine-tuned to predict several activities from the MoleculeNet benchmark. Model Type: Representative machi...
2024-06-05 | MODEL2406050006 | BioModels
Machine Learning Model FAIR-AIML Ersilia 
GenomicsEvaluation via Supervised Machine Learning of the Broiler Pectoralis Major and Liver Transcriptome in Association with the Muscle Myopathy Wooden Breast
Evaluation via Supervised Machine Learning of the Broiler Pectoralis Major and Liver Transcriptome in Association with the Muscle Myopathy Wooden Breast
PRJNA602475 | ENA
MetabolomicsLC-MS/MS metabolomics unravels the resistant phenotype of carbapenemase-producing Enterobacteriaceae

Introduction: The degree of antimicrobial resistance demonstrated by carbapenemase-producing Enterobacteriaceae (CPE) represents a growing public health challenge. Conventional methods for detecting CPE involve culture-based techniques with lengthy incubation steps. There is a ne...

2025-08-04 | MTBLS10129 | MetaboLights
ProteomicsCancer tissue classification using machine learning applied to MALDI MSI and high resolution H&E stained images
Aim is to identify a panel of m/z markers for the early detection of colorectal cancer (CRC). Identification of a molecular pattern that can distinguish the primary tumours of colorectal cancer with lymph node metastasis compared to those without. Materials and Methods: Using MALDI MSI data, we deve...
ORGANISM(S): Homo sapiens (Human) 
2022-02-15 | PXD019662 | Pride
Crc colorectal cancer machine learning maldi msi matrix assisted laser desorption/ionisation mass spectrometry imaging 
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