SNF-CLIMEDIN: A Randomized Trial of Digital Support and Intervention in Patients With Advanced Non–Small Cell Lung Cancer. A Hellenic Cooperative Oncology Group Study Shallow whole-genome sequencing ...
Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...
Study of 99 pediatric patients found clinically significant CNVs in 30% of cases, supporting CMA as a first-tier test for developmental delay and ID. Clinically significant CNVs were identified in 30% ...
The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...
An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
Evaluation of scCNV inference methods using a clinical small cell lung cancer (SCLC) dataset. (A) Sensitivity and specificity of the four scCNV inference methods applied to primary and relapse SCLC ...
I've used Savana to detect both CNVs and SVs in a tumor-normal pair with 40x coverage (ONT). But when looking at the SV vcf, I find no matching deletion/duplication as the CNV algorithm. For SV, it ...
*These authors contributed equally to the preparation of this manuscript. Cell-based technologies for printing protein microarrays are faced with poor protein expression, protein insolubility, ...
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