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Artificial-cell-type aware cell-type classification in CITE-seq.

, , , , , , and . Bioinform., 36 (Supplement-1): i542-i550 (2020)

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GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies., , , , , , , , , and . BMC Genom., (2018)Optimal seed solver: optimizing seed selection in read mapping., , , , , , , and . Bioinform., 32 (11): 1632-1642 (2016)Artificial-cell-type aware cell-type classification in CITE-seq., , , , , , and . Bioinform., 36 (Supplement-1): i542-i550 (2020)Linearly compressed pages: a low-complexity, low-latency main memory compression framework., , , , , , , and . MICRO, page 172-184. ACM, (2013)A case for unlimited watchpoints., , , and . ASPLOS, page 159-172. ACM, (2012)Context-Aware Seeds for Read Mapping., , and . WABI, volume 143 of LIPIcs, page 15:1-15:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Mitigating Prefetcher-Caused Pollution Using Informed Caching Policies for Prefetched Blocks., , , , , , and . ACM Trans. Archit. Code Optim., 11 (4): 51:1-51:22 (2014)Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study., , , and . ICAC, page 105-114. IEEE, (2019)GateKeeper: Enabling Fast Pre-Alignment in DNA Short Read Mapping with a New Streaming Accelerator Architecture., , , , , and . CoRR, (2016)GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies., , , , , , , , , and . CoRR, (2017)