Identification of Cell Cycle-Regulated Genes by Convolutional Neural Network-Reference-Cited by-同舟云学术

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Identification of Cell Cycle-Regulated Genes by Convolutional Neural Network

Published:2017-10-23 Issue:7 Volume:20 Page:
ISSN:1386-2073
Container-title:Combinatorial Chemistry & High Throughput Screening
language:en
Short-container-title:CCHTS

Author:

Liu Chenglin¹,Cui Peng¹,Huang Tao²

Affiliation:

1. School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Minhang, Shanghai 200240, China

2. Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences; Shanghai 200031, China

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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2. Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods;BioMed Research International;2022-08-13

3. Construction of a three commitment points for S phase entry cell cycle model and immune-related ceRNA network to explore novel therapeutic options for psoriasis;Mathematical Biosciences and Engineering;2022

4. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes;BMC Bioinformatics;2021-10-16

5. DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics Data;Frontiers in Cell and Developmental Biology;2021-07-06

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