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MetabolomicsPrediction and evaluation of the effect of pre-centrifugation sample management on the measurable untargeted LC-MS plasma metabolome

Optimal handling is the most important means to ensure adequate sample quality. We aimed to investigate whether pre-centrifugation delay time and temperature could be accurately predicted and to what extent variability induced by pre-centrifugation management can be adjusted for. We used untarget...

2021-10-13 | MTBLS2259 | MetaboLights
MetabolomicsTargeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study

Background. Atrial fibrillation (AF), the most common cardiac arrhythmia worldwide, carries a high risk of severe complications. Patients diagnosed with paroxysmal atrial fibrillation (PAF) may progress to persistent atrial fibrillation (PerAF) following a period. We aimed to identify metabo...

2026-07-03 | MTBLS13136 | MetaboLights
ModelsHuiyiLi2024 - Prediction of death risk in patients with acute diquat poisoning using Random Forest Model
The objective of this study was to develop and validate predictive models to assess the risk of death in patients with acute diquat (DQ) poisoning using innovative machine learning techniques. The study analyzed data from 201 consecutive patients admitted for deliberate oral intake of DQ between Feb...
2024-07-18 | MODEL2407180001 | BioModels
GenomicsA Random-Forest Based Algorithm for Prediction of Enhancers From Histone Modifications
Transcriptional enhancers play critical roles in regulation of gene expression, but their identification has remained a challenge. Recently, it was shown that enhancers in the mammalian genome are associated with characteristic histone modification patterns, which have been increasingly exploited f...
ORGANISM(S): Homo sapiens 
2012-05-09 | E-GEOD-37858 | biostudies-arrayexpress
GenomicstRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction
tRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction
PRJNA783302 | ENA
ProteomicsMulti-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer
Peripheral blood plasma was collected from unresectable stage III and IV non-small cell lung cancer patients who were negative for driver mutations before receiving immunotherapy. Then we classified samples according to the follow-up results after two courses of immunotherapy and non-targeted metabo...
ORGANISM(S): Homo Sapiens 
2024-12-18 | PXD058967 |
GenomicsA Random-Forest Based Algorithm for Prediction of Enhancers From Histone Modifications
Transcriptional enhancers play critical roles in regulation of gene expression, but their identification has remained a challenge. Recently, it was shown that enhancers in the mammalian genome are associated with characteristic histone modification patterns, which have been increasingly exploited fo...
ORGANISM(S): Homo sapiens 
2012-05-10 | GSE37858 | GEO
TranscriptomicstRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction
tRNA fragments (tRFs) are a novel class of small RNAs comparable to the size and function of miRNAs. We and others have shown that tRFs are generally Dicer independent, can be found in abundance in the miRNA effector protein Ago, and can repress expression of specific genes that have complementarity...
ORGANISM(S): Homo sapiens 
2022-05-16 | GSE189510 | GEO
TranscriptomicsCRC samples for FOLFOX therapy prediction
The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 pati...
ORGANISM(S): Homo sapiens 
2011-11-21 | E-GEOD-28702 | biostudies-arrayexpress
TranscriptomicsTranscription profiling of human whole blood from rheumatoid arthritis patients
The whole blood was collected pre-treatment from rheumatoid arthritis patients starting the anti_TNF therapy. All patients were naïve to anti_TNFs. The disease activity was measured using the DAS28 score at the pre-treatment visit1 (DAS28_v1) and 14 weeks after treatment visit3 (DAS28_v3). The resp...
ORGANISM(S): Homo sapiens 
2009-09-18 | E-GEOD-15258 | biostudies-arrayexpress
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