数据预处理是免疫库分析的重要环节，就像是给数据 “洗澡”，去除杂质，让它变得更加干净、准确。这一过程包括多个步骤，首先是对原始数据进行质量控制，去除低质量或错误的读取，比如修剪掉适配器序列，过滤掉太短或质量差的读取，以及排除错误率高的读取。常用的质量控制指标是 Phred 分数，它就像一个 “质检员”，通过计算每个测序读取的准确性，只选择超过特定阈值的读取进行后续分析。

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

Study cohort began collecting data on newborns through adulthood, and may offer objective clues on asthma and COPD disease ...

Mal-ID – can decipher an individual's immune system's record of past infections and diseases, according to a new ...

Medigene AG, an oncology platform company focused on the research and development of T cell receptor (TCR)-guided therapies for the treatment of cancer, announced that the company has been issued a ...

Mal-ID – can decipher an individual’s immune system’s record of past infections and diseases, according to a new study, providing a powerful tool with the potential for diagnosing autoimmune disorders ...

Immune therapy has transformed how cancer is treated, but many tumors continue to evade these treatments, thanks to their ...

Medigene continuously strengthens and expands its patent portfolio by developing new 3S TCRs, integrating advanced technologies, and extending its existing patents to new regions. The Company now owns ...

A webcast of the fireside chat will be available on the “Events and Presentations” section of the Company’s website at ir.tscan.com. An archived replay of the webcast will be available on the ...