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ELIZA cgi-bash version rev. 1.91
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -
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kwic search for data out of >500 occurrences
617251 occurrences (No.12 in the rank) during 5 years in the PubMed. [no cache] 500 found
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617251 occurrences (No.12 in the rank) during 5 years in the PubMed. [no cache] 500 found
| 1) Data from 131 cognitively normal older adu |
| 2) Data from 214 adults aged 66.5 to 92.8 yea |
| 3) Data from the 2019 New Mexico Youth Risk a |
| 4) Data from three different studies of young |
| 5) Public databases featuring original, raw data from "Omics" experiments enable resea |
| 6) atewide point-of-sale study, we collected data from 1,354 ST retailers. |
| 7) In total, data from 1388 lactating mothers (4011 mil |
| 8) We abstracted data from 16 and 11 observational and clin |
| 9) Gene expression data from 17,382 samples across 52 tissues |
| 10) Twelve studies published since 2010 with data from 18 countries identified four maj |
| 11) This study examined data from 264 MDD outpatients treated with |
| 12) We evaluated the data from 27 studies aimed to investigate |
| 13) In total, quantitative data from 27 studies conducted in 18 count |
| 14) e we leverage peripheral blood sequencing data from 32,442 cancer patients to jointl |
| 15) The two screeners independently extracted data from 37 eligible articles, which were |
| 16) Here, we utilize data from Add Health, a large, nationally |
| 17) l lifestyles, including novel metagenomic data from Burkina Faso (n = 90). |
| 18) on the application of machine learning on data from COVID-19-related social media an |
| 19) ry potential of VNTRs, we used read-depth data from Illumina whole-genome sequencing |
| 20) monthly leptospirosis and meteorological data from January 2007 to April 2019 from |
| 21) nd TRG were obtained by analyzing genomic data from PacBio sequencing. |
| 22) tronic health records and genetic biobank data from Tayside, Scotland, we examined t |
| 23) ctrocardiogram (ECG) waveforms to emulate data from a non-invasive wearable device. |
| 24) two normal distributions to progesterone data from all non-calf females to identify |
| 25) using exome sequencing and array genotype data from an additional 15,205 individuals |
| 26) h through-plane resolution CT images with data from both groups of cancer patients. |
| 27) Using publicly available transcriptomic data from cord blood mononuclear cells, tr |
| 28) scaffold for the incorporation of further data from environmental sequencing and eco |
| 29) tries, reflecting the need for additional data from low-middle-income countries, whe |
| 30) in disease areas such as psoriasis, where data from multiple clinical trials (CTs) o |
| 31) network meta-analysis use aggregate level data from multiple studies. |
| 32) In total, across all four studies, data from only 314 women were included. |
| 33) Finally, we analysed data from over 200,000 participants on the |
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