domingo, 10 de marzo de 2019

Machine learning AND (genetic OR genomic) AND review - PubMed - NCBI

Machine learning AND (genetic OR genomic) AND review - PubMed - NCBI

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Items: 1 to 20 of 455

1.
Making Sense of the Epigenome Using Data Integration Approaches.
Cazaly E, Saad J, Wang W, Heckman C, Ollikainen M, Tang J.
Front Pharmacol. 2019 Feb 19;10:126. doi: 10.3389/fphar.2019.00126. eCollection 2019. Review.

PMID:
 
30837884
 
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2.
Machine learning in plant-pathogen interactions: empowering biological predictions from field-scale to genome-scale.
Sperschneider J.
New Phytol. 2019 Mar 4. doi: 10.1111/nph.15771. [Epub ahead of print] Review.

PMID:
 
30834534
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3.
Pharmacogenomic and Pharmacotranscriptomic Profiling of Childhood Acute Lymphoblastic Leukemia: Paving the Way to Personalized Treatment.
Pavlovic S, Kotur N, Stankovic B, Zukic B, Gasic V, Dokmanovic L.
Genes (Basel). 2019 Mar 1;10(3). pii: E191. doi: 10.3390/genes10030191. Review.

PMID:
 
30832275
 
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4.
Deep learning for cardiovascular medicine: a practical primer.
Krittanawong C, Johnson KW, Rosenson RS, Wang Z, Aydar M, Baber U, Min JK, Tang WHW, Halperin JL, Narayan SM.
Eur Heart J. 2019 Feb 27. pii: ehz056. doi: 10.1093/eurheartj/ehz056. [Epub ahead of print]

PMID:
 
30815669
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5.
Genomic Selection in Aquaculture: Application, Limitations and Opportunities With Special Reference to Marine Shrimp and Pearl Oysters.
Zenger KR, Khatkar MS, Jones DB, Khalilisamani N, Jerry DR, Raadsma HW.
Front Genet. 2019 Jan 23;9:693. doi: 10.3389/fgene.2018.00693. eCollection 2018. Review.

PMID:
 
30728827
 
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6.
Artificial Intelligence Transforms the Future of Health Care.
Noorbakhsh-Sabet N, Zand R, Zhang Y, Abedi V.
Am J Med. 2019 Jan 31. pii: S0002-9343(19)30120-2. doi: 10.1016/j.amjmed.2019.01.017. [Epub ahead of print] Review.

PMID:
 
30710543
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7.
Thermozymes: Adaptive strategies and tools for their biotechnological applications.
Kumar S, Dangi AK, Shukla P, Baishya D, Khare SK.
Bioresour Technol. 2019 Apr;278:372-382. doi: 10.1016/j.biortech.2019.01.088. Epub 2019 Jan 22. Review.

PMID:
 
30709766
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8.
Machine Learning and Integrative Analysis of Biomedical Big Data.
Mirza B, Wang W, Wang J, Choi H, Chung NC, Ping P.
Genes (Basel). 2019 Jan 28;10(2). pii: E87. doi: 10.3390/genes10020087. Review.

PMID:
 
30696086
 
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9.
Novel genetic and epigenetic factors of importance for inter-individual differences in drug disposition, response and toxicity.
Lauschke VM, Zhou Y, Ingelman-Sundberg M.
Pharmacol Ther. 2019 Jan 22. pii: S0163-7258(19)30008-7. doi: 10.1016/j.pharmthera.2019.01.002. [Epub ahead of print] Review.

PMID:
 
30677473
 
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10.
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives.
Xu J, Yang P, Xue S, Sharma B, Sanchez-Martin M, Wang F, Beaty KA, Dehan E, Parikh B.
Hum Genet. 2019 Feb;138(2):109-124. doi: 10.1007/s00439-019-01970-5. Epub 2019 Jan 22. Review.

PMID:
 
30671672
 
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11.
Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.
Mallik S, Zhao Z.
Brief Bioinform. 2019 Jan 11. doi: 10.1093/bib/bby120. [Epub ahead of print]

PMID:
 
30649169
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12.
Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.
Ghosh D, Bernstein JA, Khurana Hershey GK, Rothenberg ME, Mersha TB.
Front Immunol. 2018 Dec 12;9:2727. doi: 10.3389/fimmu.2018.02727. eCollection 2018. Review.

PMID:
 
30631320
 
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13.
Deep learning for image analysis: Personalizing medicine closer to the point of care.
Xie Q, Faust K, Van Ommeren R, Sheikh A, Djuric U, Diamandis P.
Crit Rev Clin Lab Sci. 2019 Jan;56(1):61-73. doi: 10.1080/10408363.2018.1536111. Epub 2019 Jan 10.

PMID:
 
30628494
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14.
Recent Advances on the Machine Learning Methods in Identifying DNA Replication Origins in Eukaryotic Genomics.
Dao FY, Lv H, Wang F, Ding H.
Front Genet. 2018 Dec 10;9:613. doi: 10.3389/fgene.2018.00613. eCollection 2018. Review.

PMID:
 
30619452
 
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15.
Application of machine learning in rheumatic disease research.
Kim KJ, Tagkopoulos I.
Korean J Intern Med. 2018 Dec 31. doi: 10.3904/kjim.2018.349. [Epub ahead of print]

PMID:
 
30616329
 
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16.
Precision medicine review: rare driver mutations and their biophysical classification.
Nussinov R, Jang H, Tsai CJ, Cheng F.
Biophys Rev. 2019 Feb;11(1):5-19. doi: 10.1007/s12551-018-0496-2. Epub 2019 Jan 4. Review.

PMID:
 
30610579
 
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17.
Interplay between food and gut microbiota in health and disease.
Danneskiold-Samsøe NB, Dias de Freitas Queiroz Barros H, Santos R, Bicas JL, Cazarin CBB, Madsen L, Kristiansen K, Pastore GM, Brix S, Maróstica Júnior MR.
Food Res Int. 2019 Jan;115:23-31. doi: 10.1016/j.foodres.2018.07.043. Epub 2018 Jul 30. Review.

PMID:
 
30599936
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18.
Toxicogenomics: A 2020 Vision.
Liu Z, Huang R, Roberts R, Tong W.
Trends Pharmacol Sci. 2019 Feb;40(2):92-103. doi: 10.1016/j.tips.2018.12.001. Epub 2018 Dec 26. Review.

PMID:
 
30594306
 
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19.
Research progress in protein posttranslational modification site prediction.
He W, Wei L, Zou Q.
Brief Funct Genomics. 2018 Dec 20. doi: 10.1093/bfgp/ely039. [Epub ahead of print]

PMID:
 
30576418
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20.
Embracing Environmental Genomics and Machine Learning for Routine Biomonitoring.
Cordier T, Lanzén A, Apothéloz-Perret-Gentil L, Stoeck T, Pawlowski J.
Trends Microbiol. 2018 Nov 22. pii: S0966-842X(18)30238-5. doi: 10.1016/j.tim.2018.10.012. [Epub ahead of print] Review.

PMID:
 
30554770
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