For example, I have all tumor samples from batch1 and all normal samples from batch2. How do I perfrom batch correction here?
In my case, where group (tumor vs. normal) and batch (batch 1 vs. batch 2) are fully confounded, traditional batch correction methods like ComBat or limma's removeBatchEffect may struggle. Michael Love
You cannot do any correction. That's the simple and only answer. You cannot distinguish true biological effect from unwanted technical variation. If this is your own data you generated then you should have addressed this during experimental planning, and if it is downloaded data then you really should consider not to conduct such analysis, for aforementioned reasons.
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These are the types of games that can be found at lol beans. To the fullest extent possible, do it. Before engaging in activities of that nature, individuals must to be subjected to psychological evaluations. People who have a psychological make-up that is too unstable should not participate in such a game. Life is too valuable to throw away just because you came in second place in a competition.