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High-throughput phenotyping
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Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to streamline the phenotyping process within EHRs.
13p
vighostrider
25-05-2023
11
2
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Long non-coding RNAs (lncRNAs) play crucial roles in gene regulation at the transcriptional and posttranscriptional levels. LncRNAs are belonging to a large class of transcripts with ≥200 nt in length which do not code for proteins, have been widely investigated in various physiological and pathological contexts by highthroughput sequencing techniques and bioinformatics analysis.
14p
vijeeni2711
30-06-2021
14
1
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A common yet still manual task in basic biology research, highthroughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identifying individual cells as well as their phenotype in one step.
7p
vicolorado2711
22-10-2020
21
1
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