Showing results 4821 to 4840 of 7345
Predicting epileptic seizures from scalp EEG based on attractor state analysis Chu, Hyunho; Chung, Chun Kee; Jeong, Woorim; Cho, Kwang-Hyun, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v.143, pp.75 - 87, 2017-05 |
Predicting inflammatory location of Crohn's disease using stool microbiome profiles = 대변 마이크로바이옴을 활용한 크론병의 염증 위치 예측link Kim, Jaehong; Lee, Doheon; et al, 한국과학기술원, 2021 |
Predicting Ischemic Stroke in Patients with Atrial Fibrillation Using Machine Learning Jung, Seonwoo; Song, Min-Keun; Lee, Eunjoo; Bae, Sejin; Kim, Yeon-Yong; Lee, Doheon; Lee, Myoung Jin; et al, FRONTIERS IN BIOSCIENCE-LANDMARK, v.27, no.3, 2022-03 |
Predicting multilingual effects on executive function and individual connectomes in children: an ABCD study Kwaon, Younghye; Yoo, Kwangsun; Nguyen, Hillary; Jeong, Yong; Chun, Marvin, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.118, no.49, 2021-12 |
Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks Park, Kyunghyun; Kim, Docyong; Ha, Suhyun; Lee, Doheon, PLOS ONE, v.10, no.10, 2015-10 |
Predicting the Absorption Potential of Chemical Compounds through a Deep Learning Approach Shin, Moonshik; Jang, Dongjin; Nam, Hojung; Lee, Kwang-Hyung; Lee, Doheon, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, v.15, no.2, pp.432 - 440, 2018-03 |
Predicting the adverse effect of antidiabetic drugs on cancer development Cho, Kwang Hyun; Lee, Hwang Yeol, Proc. 16th Int. Conf. on Systems Biology (ICSB2015), Proc. 16th Int. Conf. on Systems Biology (ICSB2015), 2015-11-23 |
Predicting the localization of extracellular matrix proteins using characteristic sequence repeats = 특징적인 서열 반복을 이용한 세포 외 기질 단백질 예측link Jung, Ju-Hyun; 정주현; et al, 한국과학기술원, 2008 |
Predicting the multi-modal binding propensity of small molecules: towards an understanding of drug promiscuity Park, Keun-Wan; Lee, So-Young; Ahn, Hee-Sung; Kim, Dong-Sup, MOLECULAR BIOSYSTEMS, v.5, no.8, pp.844 - 853, 2009 |
Predicting the perturbation effects in biological networks based on linear system approximation modeling Jang, Soyeong; Lee, Jong-Hoon; Kim, Yunseong; Kim, Dong-San; Cho, Kwang-Hyun, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-09 |
Predicting the recurrence of noncoding regulatory mutations in cancer Yang, Woojin; Bang, Hyoeun; Jang, Kiwon; Sung, Min Kyung; Choi, JungKyoon, BMC BIOINFORMATICS, v.17, 2016-12 |
Predicting tissue-specific expressions based on sequence characteristics Paik, Hyo-Jung; Ryu, Tae-Woo; Heo, Hyoung-Sam; Seo, Seung-Won; Lee, Do-Heon; Hur, Cheol-Goo, BMB REPORTS, v.44, no.4, pp.250 - 255, 2011-04 |
Predicting transcription factor binding sites with histone modification = 히스톤 변이를 이용한 전사조절 인자 결합지역 예측link Koo, Nam-Jin; 구남진; et al, 한국과학기술원, 2009 |
Predicting unintended effects of drugs based on off-target tissue effects Kim, Docyong; Lee, Jaehyun; Park, Junseok; Lee, Sunjae; Lee, Doheon, BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, v.469, no.3, pp.399 - 404, 2016-01 |
Predicting unintended effects of drugs based on off-target tissue effects = 비표적 조직 효과에 기반한 약물의 의도하지 않은 효과 예측link Kim, Docyong; 김덕용; et al, 한국과학기술원, 2016 |
Predicting user intent directions in EEG using Echo State Network with Gaussian Readouts Kim, Hoon-Hee; Jeong, Jaeseung, 2017 2ND INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION AND BIOENGINEERING, International Academy of Computing Technology, 2017-10-10 |
Prediction error decoding from EEG signals in a realistic environment = 현실적인 실험 환경에서 취득한 EEG 신호로부터의 예측 오차 분류에 대한 연구link Kim, Myeong Hyeon; Lee, Sang Wan; et al, 한국과학기술원, 2023 |
Prediction of binding property of RNA-binding proteins using multi-kernel multi-modal deep convolutional neural network = 다중커널 다중정보 기반의 심층 컨볼루션 신경망을 이용한 RNA Binding Protein (RBP) 결합 위치 예측link Chung, Taesu; Kim, Dongsup; et al, 한국과학기술원, 2019 |
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 |
Prediction of cancer prognosis with the genetic basis of transcriptional variations Paik, Hyo-Jung; Lee, Eun-Jung; Park, In-Ho; Kim, Jun-Ho; Lee, Do-Heon, GENOMICS, v.97, no.6, pp.350 - 357, 2011-06 |
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