Le Yang

发表

Computational approach for deriving cancer progression roadmaps from static sample data

Steve Goodison, Runpu Chen, Le Yang, 2017, Nucleic acids research.

Alignment-free Sequence Comparisons via Approximate String Matching

S. Goodison, Yijun Sun, Le Yang, 2022 .

Alignment-free comparison of metagenomics sequences via approximate string matching

S. Goodison, Yijun Sun, Le Yang, 2022, bioRxiv.

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data

Le Yang, Steve Goodison, Runpu Chen, 2019, Bioinform..

Deep Learning Approach to Identifying Breast Cancer Subtypes Using High-Dimensional Genomic Data

Runpu Chen, Le Yang, Yijun Sun, 2019, bioRxiv.

A General LSTM-based Deep Learning Method for Estimating Neuronal Models and Inferring Neural Circuitry

Youhui Zhang, Peng Qu, Xiaofei Liu, 2021, bioRxiv.

SimplePPT: A Simple Principal Tree Algorithm

Li Wang, Qi Mao, Le Yang, 2015, SDM.

SENSE: Siamese neural network for sequence embedding and alignment-free comparison

Michael Buck, Wei Zheng, Le Yang, 2018, Bioinform..

An efficient and effective method to identify significantly perturbed subnetworks in cancer

Steve Goodison, Runpu Chen, Le Yang, 2021, Nature Computational Science.

Identifying Significantly Perturbed Subnetworks in Cancer Using Multiple Protein–Protein Interaction Networks

S. Goodison, Yijun Sun, Le Yang, 2023, Cancers.

SENSE: Siamese neural network for sequence embedding and alignment-free comparison

R. Genco, J. Wactawski‐Wende, M. Buck, 2018, Bioinform..

Alignment-free comparison of metagenomics sequences via approximate string matching

Le Yang, Yijun Sun, Jian Chen, 2020, bioRxiv.