2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
Jing Gong, Minsheng Hao, Xingyi Cheng +6
Advances in high-throughput sequencing technology have led to significant progress in measuring gene expressions at the single-cell level. The amount of publicly available single-c…
cs.CL2018
Generation of Synthetic Electronic Medical Record Text
Jiaqi Guan, Runzhe Li, Sheng Yu +1
Machine learning (ML) and Natural Language Processing (NLP) have achieved remarkable success in many fields and have brought new opportunities and high expectation in the analyses…
q-bio.QM2013★ 2 cited
Isoform reconstruction using short RNA-Seq reads by maximum likelihood is NP-hard
Tianyang Li, Rui Jiang, Xuegong Zhang
Maximum likelihood is a popular technique for isoform reconstruction. Here, we show that isoform reconstruction using short RNA-Seq reads by maximum likelihood is NP-hard.