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Yunpeng Cai

Researcher at Chinese Academy of Sciences

Publications -  104
Citations -  1962

Yunpeng Cai is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Stroke & Computer science. The author has an hindex of 18, co-authored 97 publications receiving 1560 citations. Previous affiliations of Yunpeng Cai include Tsinghua University & Air Force Technical Applications Center.

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ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences

TL;DR: This work proposed a new algorithm, referred to as ESPRIT, which addresses several computational issues with prior methods for analyzing large collections of 16S ribosomal sequences, and developed two versions, one for personal computers (PCs) and one for computer clusters (CCs).
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Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings

TL;DR: The excellent AF screening performance of the MS-CNN can satisfy the most elders for daily monitoring with wearable devices and demonstrates its superiority in extracting linear separable ECG features without hand-craft feature engineering.
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A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis

TL;DR: It is found that existing methods vary widely in their outputs, and that inappropriate use of distance levels for taxonomic assignments likely resulted in substantial overestimates of biodiversity in many studies.
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ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time.

TL;DR: A new online learning-based algorithm that simultaneously addresses the space and computational issues of prior work and exhibits a quasilinear time and space complexity comparable to greedy heuristic clustering algorithms, while achieving a similar accuracy to the standard hierarchical clustering algorithm.
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The hindgut lumen prokaryotic microbiota of the termite Reticulitermes flavipes and its responses to dietary lignocellulose composition

TL;DR: The results provide insights into termite gut microbiome diversity and suggest that the prokaryotic gut microbiota is much more complex than previously estimated, and environment, founding reproductive pair effects and/or host genetics influence microbiome composition.