Label-Free Proteomics of Quantity-Limited Samples Using Ion Mobility-Assisted Data-Independent Acquisition Mass Spectrometry.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1024-4_23
Abstract: Over the past two decades, unbiased data-independent acquisition (DIA) approaches have gained increasing popularity in the bottom-up proteomics field. Here, we describe an ion mobility separation enhanced DIA workflow for large-scale label-free quantitative proteomics studies… read more here.
Keywords: data independent; limited samples; independent acquisition; ion mobility ... See more keywords
SMARCA4-deficient thoracic sarcoma: report of a case and insights into how to reach the diagnosis using limited samples and resources.
Sign Up to like & getrecommendations! Published in 2017 at "Human pathology"
DOI: 10.1016/j.humpath.2017.05.024
Abstract: SMARCA4-deficient thoracic sarcoma is a recently proposed new entity of soft tissue sarcomas with an undifferentiated round cell morphology that is diagnostically challenging. Here we report a case of this tumor where the diagnosis was… read more here.
Keywords: deficient thoracic; diagnosis; limited samples; case ... See more keywords
Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229274
Abstract: The fault diagnosis during drilling is necessary to prevent the accidents develop to more serious status. Data-driven diagnosis methods have great advantages in nonlinear industrial process, however, the problem of limited samples restricts its further… read more here.
Keywords: fault diagnosis; diagnosis; distribution discrepancy; limited samples ... See more keywords