Agnelli nesma medina biography of alberta
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| Original Artikel | Journal | Datum | Titel | AutorenMax. 6 Autoren | |
|---|---|---|---|---|---|
| 4001 | [GO] | BMC Pregnancy and Childbirth | 2023―Aug―02 | Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study | Dylan Young, Bita Houshmand, Chunyi Christie Tan, Abirami Kirubarajan, Ashna Parbhakar, Jazleen Dada, Wendy Whittle, Mara L. Sobel, Luis M. Gomez, Mario Rüdiger, Ulrich Pecks, Peter Oppelt, Joel G. Ray, Sebastian R. Hobson, John W. Snelgrove, Rohan D’Souza, Rasha Kashef, Dafna Sussman |
| 4002 | [GO] | Injury Epidemiology | 2023―Aug―01 | Changes in pediatric injuries sustained while engaged in activities where helmet usage is recommended during the COVID-19pandemic | Brent M. Troy, Kiesha Fraser Doh, Allison F. Linden, Yijin Xiang, Scott Gillespie, Maneesha Agarwal |
| 4003 | [GO] | Advances in Rheumatology | 2023―Aug―01 | Prevalence and factors associated with flares following COVID-19 mRNA vaccination in patients with rheumatoid arthritis, psoriatic arthritis and spondyloarthritis: a national cohort study | Warren Fong, Ting Hui Woon, Li-Ching Chew, Andrea Low, Annie Law, Yih Jia Poh, Siaw Ing Yeo, Ying Ying Leung, Margaret Ma, Amelia Santosa, Kok Ooi Kong, Chuan • GeneSigDB—a curated database of gene expression signatures PubMed Central Culhane, Aedín C.; Schwarzl, Thomas; Sultana, Razvan; Picard, Kermshlise C.; Picard, Shaita C.; Lu, Tim H.; Franklin, Katherine R.; French, Simon J.; Papenhausen, Gerald; Correll, Mick; Quackenbush, John 2010-01-01 The primary objective of most gene expression studies is the identification of one or more genesignatures; lists of genes whose transcriptional levels are uniquely associated with a specific biological phenotype. Whilst thousands of experimentally derived genesignatures are published, their potential value to the community is limited by their computational inaccessibility. Genesignatures are embedded in published article figures, tables or in supplementary materials, and are frequently presented using non-standard gene or probeset nomenclature. We present GeneSigDB (http://compbio.dfci.harvard.edu/genesigdb) a manually curated database of gene expression signatures. GeneSigDB release 1.0 focuses on cancer and stem cells genesignatures and was constructed from more than 850 publications from which we manually transcribed 575 genesignatures. Most genesignatures (n = 560) were successfully mapped to the genome to extract standardized lists of EnsEMBL gene identifiers. GeneSigDB provides the • 24076 Signatories forged ANGA - Art Throng together Genocide Alliance * Denotes participants in ago and/or mediate editions show consideration for Venice Biennales
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