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Did you mean zhibing ai (23 results)?
Expanded encyclopaedias of DNA elements in the human and mouse genomes.
ENCODE Project Consortium; Moore JE, Purcaro MJ, Pratt HE, Epstein CB, Shoresh N, Adrian J, Kawli T, Davis CA, Dobin A, Kaul R, Halow J, Van Nostrand EL, Freese P, Gorkin DU, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams BA, Mortazavi A, Keller CA, Zhang XO, Elhajjajy SI, Huey J, Dickel DE, Snetkova V, Wei X, Wang X, Rivera-Mulia JC, Rozowsky J, Zhang J, Chhetri SB, Zhang J, Victorsen A, White KP, Visel A, Yeo GW, Burge CB, Lécuyer E, Gilbert DM, Dekker J, Rinn J, Mendenhall EM, Ecker JR, Kellis M, Klein RJ, Noble WS, Kundaje A, Guigó R, Farnham PJ, Cherry JM, Myers RM, Ren B, Graveley BR, Gerstein MB, Pennacchio LA, Snyder MP, Bernstein BE, Wold B, Hardison RC, Gingeras TR, Stamatoyannopoulos JA, Weng Z. ENCODE Project Consortium, et al. Nature. 2020 Jul;583(7818):699-710. doi: 10.1038/s41586-020-2493-4. Epub 2020 Jul 29. Nature. 2020. PMID: 32728249 Free PMC article.
Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry.
Mubashir M, Ahmad T, Liu X, Rehman LM, de Levay JBB, Al Nuaimi R, Thankamony R, Lai Z. Mubashir M, et al. Chemosphere. 2023 Oct;338:139525. doi: 10.1016/j.chemosphere.2023.139525. Epub 2023 Jul 17. Chemosphere. 2023. PMID: 37467860 Review.
AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. ...This review has great significance to control the new design of membranes via AI programs. This review also explain the inorganic membrane efficien …
AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. ...This review ha …
Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes.
ENCODE Project Consortium; Moore JE, Purcaro MJ, Pratt HE, Epstein CB, Shoresh N, Adrian J, Kawli T, Davis CA, Dobin A, Kaul R, Halow J, Van Nostrand EL, Freese P, Gorkin DU, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams BA, Mortazavi A, Keller CA, Zhang XO, Elhajjajy SI, Huey J, Dickel DE, Snetkova V, Wei X, Wang X, Rivera-Mulia JC, Rozowsky J, Zhang J, Chhetri SB, Zhang J, Victorsen A, White KP, Visel A, Yeo GW, Burge CB, Lécuyer E, Gilbert DM, Dekker J, Rinn J, Mendenhall EM, Ecker JR, Kellis M, Klein RJ, Noble WS, Kundaje A, Guigó R, Farnham PJ, Cherry JM, Myers RM, Ren B, Graveley BR, Gerstein MB, Pennacchio LA, Snyder MP, Bernstein BE, Wold B, Hardison RC, Gingeras TR, Stamatoyannopoulos JA, Weng Z. ENCODE Project Consortium, et al. Nature. 2022 May;605(7909):E3. doi: 10.1038/s41586-021-04226-3. Nature. 2022. PMID: 35474001 Free PMC article. No abstract available.