Single-cell RNA-sequencing (scRNA-seq) provides the chance to analyze heterogeneous cellular compositions and probe the patterns of gene expression that are unique to each cell type under various circumstances. However, batch effects like lab setups and individual variability make it difficult to use them in cross-condition designs.
<h3>What is Single-cell transcriptomes ?</h3>
In single-cell transcriptomics, the messenger RNA levels of hundreds to thousands of genes are simultaneously measured to assess the degree of gene expression in individual cells within a particular population.
<h3>Advantages : </h3>
• Integrated protocol proceeds directly from whole cells and preserves sample integrity.
• High resolution analysis enables discovery of cellular differences typically hidden by bulk sampling methods.
• Robust transcriptome analysis down to single-cell input levels for high-quality samples.
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Answer:
It is important to have more than one piece of evidence to make sure that the evidence is actually evidence. Or in other words, that the evidence is proven true. With only one piece of evidence, you can't be fully sure if calculations were correct, if the source was trustworthy, etc.
Multiple evidence is kinda like double checking math problems. If you don't do it, you can't be 100% certain the answer is correct.
True is the correct answer
