| 4841 | 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 |
| 4842 | 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 |
| 4843 | Prediction of Complex MR Signals of a Single Vein: Potential Advancement to Measurement of Venous Oxygen Saturation
and Diameter Park, Sung-Hong; Kim, Seong-Gi, International Society for Magnetic Resonance in Medicine 2014, pp.3255, International Society for Magnetic Resonance in Medicine, 2014-05-12 |
| 4844 | Prediction of compound-target interactions of natural products using large-scale drug and protein information Keum, Jongsoo; Yoo, Sunyong; Lee, Doheon; Nam, Hojung, BMC BIOINFORMATICS, v.17, no.6, pp.219, 2016-07 |
| 4845 | Prediction of damaging effects of missense variants using an ensemble approach with a disease gene network = 질환 유전자 네트워크 및 앙상블 방법을 이용한 과오 돌연변이의 영향 예측link Won, Hong-Hee; 원홍희; et al, 한국과학기술원, 2011 |
| 4846 | Prediction of drug interactions using signaling propagation interference of drugs = 약물의 신호전파 간섭을 이용한 약물 상호작용 예측link Park, Kyunghyun; 박경현; et al, 한국과학기술원, 2016 |
| 4847 | Prediction of drug metabolism and toxicity = 약물의 대사와 독성 예측link Lee, So-Young; 이소영; et al, 한국과학기술원, 2010 |
| 4848 | Prediction of drug-induced liver injury (DILI) using graph convolutional network on heterogeneous network = 이종 네트워크 상에서 그래프 합성곱 신경망을 이용한 약인성 간손상 예측link Lee, Kyungwook; Lee, Doheon; et al, 한국과학기술원, 2021 |
| 4849 | Prediction of drug-target interaction using multi-task learning = 다중 작업 학습 기법을 이용한 약물-표적의 상호작용 예측link Moon, Chaeyoung; Kim, Dongsup; et al, 한국과학기술원, 2022 |
| 4850 | Prediction of drug-target interactions through multi-task learning Moon, Chaeyoung; Kim, Dongsup, SCIENTIFIC REPORTS, v.12, no.1, 2022-10 |
| 4851 | Prediction of drugs having opposite effects on disease genes in a directed network Yu, Hasun; Choo, Sungji; Park, Junseok; Jung, Jinmyung; Kang, Yeeok; Lee, Doheon, BMC SYSTEMS BIOLOGY, v.10, 2016-01 |
| 4852 | Prediction of Extracellular Matrix Proteins Based on Distinctive Sequence and Domain Characteristics Jung, Juhyun; Ryu, Taewoo; Hwang, Yongdeuk; Lee, Eunjung; Lee, Doheon, JOURNAL OF COMPUTATIONAL BIOLOGY, v.17, no.1, pp.97 - 105, 2010 |
| 4853 | Prediction of foods with antagonistic effects on hypertension drugs using heterogeneous network = 이종 네트워크를 이용한 고혈압 약물의 길항식품 예측link Kim, Seojin; Lee, Doheon; et al, 한국과학기술원, 2022 |
| 4854 | Prediction of functional drug actions with multi-level biological networks = 다수준 생체 네트워크를 이용한 세포 기능 수준 약물 작용의 예측link Yoon, Seyeol; Lee, Doheon; et al, 한국과학기술원, 2018 |
| 4855 | Prediction of gene expression levels and the role of cis-acting elements in age-related cataract by applying a promoter-based modeling approach Lim, JM; Cho, Kwang-Hyun, BIOTECHNOLOGY PROGRESS, v.21, pp.1032 - 1037, 2005-07 |
| 4856 | Prediction of herbal multi-component drug effect based on multi-target analysis = 다중표적 분석에 기반한 다성분 천연물신약의 효능 예측link Kim, Kwang-Min; 김광민; et al, 한국과학기술원, 2014 |
| 4857 | Prediction of human in vivo hepatic clearance from in vitro experiments in humans and rats and molecular descriptors of drugs = 인간과 쥐의 세포실험과 약물의 분자표현자를 이용한 간에서의 약물소실 예측link So-young Lee; 이소영; et al, 한국과학기술원, 2006 |
| 4858 | Prediction of mutation effects using a deep temporal convolutional network Kim, Ha Young; Kim, Dongsup, BIOINFORMATICS, v.36, no.7, pp.2047 - 2052, 2020-04 |
| 4859 | Prediction of mutation effects using a deep temporal convolutional neural network = 딥 템포럴 컨볼루션 신경망을 이용한 돌연변이 영향 예측 연구link Kim, Ha Young; Kim, Dongsup; et al, 한국과학기술원, 2020 |
| 4860 | Prediction of Novel Anoctamin1 (ANO1) Inhibitors Using 3D-QSAR Pharmacophore Modeling and Molecular Docking Lee, Yoon Hyeok; Yi, Gwan-Su, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v.19, no.10, 2018-10 |
