Additional file 2 of DNA methylation of insulin signaling pathways is associated with HOMA2-IR in primary myoblasts from older adults
Notice bibliographique
Résumé
Additional file 2: Supplementary Table 1. List of HOMA2-IR dmCpGs. Supplementary Table 2. Top 20 GO and KEGG terms associated with the HOMA2-IR networks. Supplementary Table 3. IPA Networks from top 100 dmCpG associated genes with HOMA2-IR. Supplementary Table 4. IPA upstream regulators from top 100 dmCpG associated genes with HOMA2-IR. Supplementary Table 5. List of HOMA2-IR dmCpGs after adjustment for BMI. Supplementary Table 6. Top 20 GO and KEGG terms associated with the HOMA2-IR networks after adjustment for BMI. Supplementary Table 7. List of HOMA2-IR associated dmCpGs after adjustment for ALMi. Supplementary Table 8. List of HOMA2-IR associated dmCpGs after adjustment for grip strength. Supplementary Table 9. List of HOMA2-IR associated dmCpGs after adjustment for gait speed. Supplementary Table 10. Top 20 GO and KEGG terms associated with the HOMA2-IR networks after adjustment for ALMi. Supplementary Table 11. Top 20 GO and KEGG terms associated with the HOMA2-IR networks after adjustment for grip strength. Supplementary Table 12. Top 20 GO and KEGG terms associated with the HOMA2-IR networks after adjustment for gait speed. Supplementary Table 13. List of HbA1C associated dmCpGs. Supplementary Table 14. Common Overlapping dmCpGs. Supplementary Table 15. List of fasting HbA1c associated dmCpGs after adjustment for BMI. Supplementary Table 16. List of hbA1c associated dmCpGs after adjustment for ALMi. Supplementary Table 17. List of hbA1c associated dmCpGs after adjustment for grip strength. Supplementary Table 18. List of hbA1c associated dmCpGs after adjustment for gait speed. Supplementary Table 19. Top 20 GO and KEGG terms associated with the HbA1c networks. Supplementary Table 20. Top 20 GO and KEGG terms associated with the HbA1c networks after adjustment for BMI. Supplementary Table 21. Top 20 GO and KEGG terms associated with the hbA1c networks after adjustment for ALMi. Supplementary Table 22. Top 20 GO and KEGG terms associated with the hbA1c networks after adjustment for grip strength. Supplementary Table 23. Top 20 GO and KEGG terms associated with the hbA1c networks after adjustment for gait speed. Supplementary Table 24. HOMA2-IR asscoiated differentially methylated regions. Supplementary Table 25. Hba1c asscoiated differentially methylated regions. Supplementary Table 26. HOMA2-IR asscoiated differentially methylated regions adjusted for BMI. Supplementary Table 27. HOMA2-IR asscoiated differentially methylated regions after adjustment for grip strength. Supplementary Table 28. HOMA2-IR asscoiated differentially methylated regions after adjustment for gait speed. Supplementary Table 29. HOMA2-IR asscoiated differentially methylated regions after adjustment for ALMi. Supplementary Table 30. HbA1c asscoiated differentially methylated regions after adjustment for BMI. Supplementary Table 31. HbA1c asscoiated differentially methylated regions after adjustment for grip strength. Supplementary Table 32. HbA1c asscoiated differentially methylated regions after adjustment for gait speed. Supplementary Table 33. HbA1c asscoiated differentially methylated regions after adjustment for ALMi. Supplementary Table 34. MEAT methylation clock for HOMA2-IR and HbA1c unadjusted and adjusted for BMI.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,786 | 0,112 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».