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Showing results 1 to 13 of 13

1
A Regulated Double-Negative Feedback Decodes the Temporal Gradient of Input Stimulation in a Cell Signaling Network

Park, Sang Min; Shin, Sung-Young; Cho, Kwang-Hyun, PLOS ONE, v.11, no.9, 2016-09

2
An optimally evolved connective ratio of neural networks that maximizes the occurrence of synchronized bursting behavior

Dong, Chao-Yi; Cho, Kwang-Hyun, BMC SYSTEMS BIOLOGY, v.6, no.23, pp.1 - 11, 2012-03

3
Architecture of basic building blocks in protein and domain structural interaction networks

Moon, HS; Bhak, J; Lee, Kwang-Hyung; Lee, Doheon, BIOINFORMATICS, v.21, pp.1479 - 1486, 2005-04

4
CONVIRT A web-based tool for transcriptional regulatory site identification using a conserved virtual chromosome

Ryu, Taewoo; Lee, Sejoon; Hur, Cheol-Goo; Lee, Doheon, BMB REPORTS, v.42, no.12, pp.823 - 828, 2009-12

5
Dynamic network rewiring determines temporal regulatory functions in Drosophila melanogaster development processes

Kim, MS; Kim, JR; Cho, Kwang-Hyun, BIOESSAYS (Cover Paper 선정), v.32, no.6, pp.505 - 513, 2010-06

6
Genome-wide DNA-binding specificity of PIL5, an Arabidopsis basic Helix-Loop-Helix (bHLH) transcription factor

Kang, Hyojin; Oh, Eunkyoo; Choi, Giltsu; Lee, Doheon, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.4, no.5, pp.588 - 599, 2010

7
Hub genes with positive feedbacks function as master switches in developmental gene regulatory networks

Seo, Chang H.; Kim, Jeong-Rae; Kim, Man-Sun; Cho, Kwang-Hyun, BIOINFORMATICS, v.25, no.15, pp.1898 - 1904, 2009-08

8
Identification of feedback loops in neural networks based on multi-step Granger causality

Dong, Chao-Yi; Shin, Dongkwan; Joo, Sunghoon; NAM, Yoonkey; Cho, Kwang-Hyun, BIOINFORMATICS, v.28, no.16, pp.2146 - 2153, 2012-06

9
Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on Boolean network modeling

Kwon, Yung-Keun; Choi, Sun Shim; Cho, Kwang-Hyun, BMC BIOINFORMATICS, v.8, no.384, pp.1 - 9, 2007-10

10
Prediction of binding property of RNA-binding proteins using multi-sized filters and multi-modal deep convolutional neural network

Chung, Taesu; Kim, Dongsup, PLOS ONE, v.14, no.4, 2019-04

11
Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics

Kwon, Yung-Keun; Cho, Kwang-Hyun, BIOINFORMATICS, v.24, no.7, pp.987 - 994, 2008-04

12
Reduction of Complex Signaling Networks to a Representative Kernel

Kim, Jeong-Rae; Kim, Junil; Kwon, Yung-Keun; Lee, Hwang-Yeol; Heslop-Harrison, Pat; Cho, Kwang-Hyun, SCIENCE SIGNALING (Featured Cover Article 선정. KBS, MBC 등 5개 주요 언론에 보도됨. 한겨레신문, 경향신문 등 8개 일간지에 보도됨. <2012년 기초연구 우수성과(교과부 R&D사업 대표성과)>로 선정), v.4, no.175, 2011-05

13
The biphasic behavior of incoherent feed-forward loops in biomolecular regulatory networks

Kim, D; Kwon, YK; Cho, Kwang-Hyun, BIOESSAYS, v.30, no.11-12, pp.1204 - 1211, 2008-11

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