tailieunhanh - Robust principal component analysis for accurate outlier sample detection in RNASeq data

High throughput RNA sequencing is a powerful approach to study gene expression. Due to the complex multiple-steps protocols in data acquisition, extreme deviation of a sample from samples of the same treatment group may occur due to technical variation or true biological differences. |

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