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Unknown
(633)
Proteomics
(2)
Transcriptomics
(1)
Metabolomics
(1)
Genomics
(1)
Organisms
Schizophyllum commune H4-8
(2)
Mycobacterium tuberculosis SP7
(2)
Oryza sativa Japonica Group
(2)
Candidatus Endoriftia persephonae
(2)
Mycobacterium tuberculosis SP10
(2)
Mycobacterium tuberculosis SP13
(2)
Mycobacterium tuberculosis SP22
(2)
Enterobacter ludwigii
(2)
Chlamydomonas reinhardtii
(2)
Lama
(2)
Pyricularia oryzae P131
(2)
Enterococcus mundtii CRL35
(2)
Oncorhynchus tshawytscha
(2)
Pseudomonas canadensis
(2)
Strongylocentrotus purpuratus
(2)
Influenza A virus (A/California/04/2009(H1N1))
(2)
Homo
(2)
Pseudomonas aeruginosa PAO1H2O
(2)
Human alphaherpesvirus 1 strain 17
(2)
Quercus petraea
(2)
Canis lupus
(2)
Mycobacterium tuberculosis SP1
(2)
Marchantia polymorpha subsp. ruderalis
(2)
Zymomonas mobilis subsp. mobilis ZM4 = ATCC 31821
(2)
Curtobacterium pusillum
(2)
Methylocystis sp.
(2)
Exiguobacterium sp. SH31
(2)
Palaemonetes sp. common grass shrimp associated circular virus
(2)
Amaranthus tricolor
(2)
Homo sapiens
(1)
Organisms
Homo sapiens
(1)
Repository
pride
(2)
geo
(1)
MetaboLights
(1)
ENA
(1)
Tissue
Blood plasma
(1)
Disease
Inflammatory bowel disease 7
(1)
Technology Type
Mass Spectrometry
(2)
Mass spectrometry
(1)
SWATH MS
(1)
Data-independent acquisition
(1)
Bottom-up proteomics
(1)
Instrument Platform
Liquid Chromatography MS - negative - reverse phase
(1)
Liquid Chromatography MS - positive - reverse phase
(1)
CHEBI ID
CHEBI:136987
(1)
CHEBI:51014
(1)
CHEBI:64263
(1)
CHEBI:176874
(1)
CHEBI:62624
(1)
CHEBI:181384
(1)
CHEBI:8329
(1)
CHEBI:20506
(1)
CHEBI:29538
(1)
CHEBI:63580
(1)
CHEBI:17477
(1)
CHEBI:18047
(1)
CHEBI:19566
(1)
CHEBI:29643
(1)
CHEBI:11909
(1)
CHEBI:28921
(1)
CHEBI:27571
(1)
CHEBI:2490
(1)
CHEBI:79317
(1)
CHEBI:1135
(1)
CHEBI:80579
(1)
CHEBI:24267
(1)
CHEBI:79860
(1)
CHEBI:17356
(1)
CHEBI:7051
(1)
CHEBI:1438
(1)
CHEBI:22198
(1)
CHEBI:86497
(1)
CHEBI:80705
(1)
CHEBI:17160
(1)
Metabolite Name
Gentamicin C1a (gentamycin C1a)
(1)
5-Guanidino-3-methyl-2-oxopentanoate
(1)
Beta-Carotene
(1)
(1H-Indol-3-yl)-N-methylmethanamine
(1)
3,4-Dihydroxyphenylpropanoate
(1)
Ribavirin
(1)
3,3',4'5-Tetrahydroxystilbene
(1)
2-Deoxyecdysone
(1)
3-Aminopentanedioate
(1)
Cis-4-Hydroxy-L-proline
(1)
Alloepipregnanolone
(1)
5alpha-Cholestanone
(1)
Lanosterin
(1)
N7-Methylguanosine
(1)
(S)-2-Phenyloxirane
(1)
Alprenolol
(1)
1-palmitoylglycerophosphocholine
(1)
Uracil 5-carboxylate
(1)
N-Butyryl-L-homoserine lactone
(1)
Cis-2,3-Dihydro-2,3-dihydroxybiphenyl
(1)
Antibiotic JI-20A
(1)
Geranyl diphosphate
(1)
3,7-Dimethylquercetin
(1)
(2S)-Flavanone
(1)
2-Oxoarginine
(1)
N-Methyl-2-pyrrolidinone
(1)
Avermectin B1b aglycone
(1)
Lidocaine
(1)
S-Methyl-L-methionine
(1)
4-Chloro-17alpha-methyl-17beta-hydroxy-4-androsten-3-one
(1)
First Public Date
2022
(1)
Release Date
2025
(331)
2024
(111)
2023
(75)
2022
(56)
2026
(27)
2021
(27)
2020
(4)
2019
(1)
2014
(1)
Lab affiliation
Laboratory of Intestinal Physiopathology, Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
(1)
Department of General Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education
(1)
Publication date
2026
(2)
2022
(1)
2023
(1)
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How can SHAP values help to shape metabolic stability of chemical compounds?
Not available
S-EPMC8477573
|
biostudies-literature
Cite
Comprehensive SHAP Values and Single-Cell Sequencing Technology Reveal Key Cell Clusters in Bovine Skeletal Muscle.
Not available
S-EPMC11900076
|
biostudies-literature
Cite
Machine learning and SHAP values explain the association between social determinants of health and post-stroke depression.
Not available
S-EPMC12369033
|
biostudies-literature
Cite
Machine learning model interpretability using SHAP values: Applied to the task of classifying and predicting the nutritional content of different cuts of mutton.
Not available
S-EPMC12275142
|
biostudies-literature
Cite
Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation.
Not available
S-EPMC12606625
|
biostudies-literature
Cite
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling
Not available
S-EPMC9381890
|
biostudies-literature
Cite
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer's disease.
Not available
S-EPMC10369804
|
biostudies-literature
Cite
SHAP-based binarization enhances metataxonomic machine learning with application to gut microbiota of inflammatory bowel disease.
Not available
S-EPMC12594890
|
biostudies-literature
Cite
Integrating deep learning features from mammography with SHAP values for a machine learning model predicting over 5-year recurrence of breast ductal carcinoma <i>In Situ</i> post-lumpectomy.
Not available
S-EPMC12477132
|
biostudies-literature
Cite
Gray matter volume drives the brain age gap in schizophrenia: a SHAP study.
Not available
S-EPMC9829754
|
biostudies-literature
Cite
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