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Yuning Yang et al.
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Hai-Cheng Yi et al.
BMC BIOINFORMATICS (2020)
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Hai-Cheng Yi et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
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Siyu Han et al.
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Zhu-Hong You et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
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Hai-Cheng Yi et al.
FRONTIERS IN GENETICS (2019)
DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy
Shuping Cheng et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2019)
A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
Hai-Cheng Yi et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2018)
Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network
Lei Deng et al.
BMC BIOINFORMATICS (2018)
A comprehensive overview and evaluation of circular RNA detection tools
Xiangxiang Zeng et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Highly Efficient Framework for Predicting Interactions Between Proteins
Zhu-Hong You et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks
Yun Xiao et al.
SCIENTIFIC REPORTS (2017)
Fusing multiple protein-protein similarity networks to effectively predict lncRNA-protein interactions
Xiaoxiong Zheng et al.
BMC BIOINFORMATICS (2017)
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
Xiaoyong Pan et al.
BMC GENOMICS (2016)
Relevance search for predicting lncRNA-protein interactions based on heterogeneous network
Jianghong Yang et al.
NEUROCOMPUTING (2016)
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi et al.
NATURE BIOTECHNOLOGY (2015)
RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information
V. Suresh et al.
NUCLEIC ACIDS RESEARCH (2015)
Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model
Ao Li et al.
BIOMED RESEARCH INTERNATIONAL (2015)
A critical role for the long non-coding RNA GAS5 in proliferation and apoptosis in non-small-cell lung cancer
Xuefei Shi et al.
MOLECULAR CARCINOGENESIS (2015)
Oncogenic role of long noncoding RNA AF118081 in anti-benzo[a] pyrene-trans-7,8-dihydrodiol-9,10-epoxide-transformed 16HBE cells
Qiaoyuan Yang et al.
TOXICOLOGY LETTERS (2014)
Computational prediction of associations between long non-coding RNAs and proteins
Qiongshi Lu et al.
BMC GENOMICS (2013)
De novo prediction of RNA-protein interactions from sequence information
Ying Wang et al.
MOLECULAR BIOSYSTEMS (2013)
LNCipedia: a database for annotated human lncRNA transcript sequences and structures
Pieter-Jan Volders et al.
NUCLEIC ACIDS RESEARCH (2013)
X-inactivation: quantitative predictions of protein interactions in the Xist network
Federico Agostini et al.
NUCLEIC ACIDS RESEARCH (2013)
Function of lncRNAs and approaches to lncRNA-protein interactions
Zhu JuanJuan et al.
SCIENCE CHINA-LIFE SCIENCES (2013)
Long noncoding RNAs in development and disease of the central nervous system
Shi-Yan Ng et al.
TRENDS IN GENETICS (2013)
Wavelet images and Chou's pseudo amino acid composition for protein classification
Loris Nanni et al.
AMINO ACIDS (2012)
Computational methods for prediction of protein-RNA interactions
Tomasz Puton et al.
JOURNAL OF STRUCTURAL BIOLOGY (2012)
Landscape of transcription in human cells
Sarah Djebali et al.
NATURE (2012)
GENOMICS ENCODE Project Writes Eulogy For Junk DNA
Elizabeth Pennisi
SCIENCE (2012)
Predicting RNA-Protein Interactions Using Only Sequence Information
Usha K. Muppirala et al.
BMC BIOINFORMATICS (2011)
Towards better accuracy for missing value estimation of epistatic miniarray profiling data by a novel ensemble approach
Xiao-Yong Pan et al.
GENOMICS (2011)
Molecular Mechanisms of Long Noncoding RNAs
Kevin C. Wang et al.
MOLECULAR CELL (2011)
Predicting protein associations with long noncoding RNAs
Matteo Bellucci et al.
NATURE METHODS (2011)
PRIDB: a protein-RNA interface database
Benjamin A. Lewis et al.
NUCLEIC ACIDS RESEARCH (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
CD-HIT Suite: a web server for clustering and comparing biological sequences
Ying Huang et al.
BIOINFORMATICS (2010)
Large-Scale Prediction of Human Protein-Protein Interactions from Amino Acid Sequence Based on Latent Topic Features
Xiao-Yong Pan et al.
JOURNAL OF PROTEOME RESEARCH (2010)
HITS-CLIP: panoramic views of protein-RNA regulation in living cells
Robert B. Darnell
WILEY INTERDISCIPLINARY REVIEWS-RNA (2010)
Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
Yu-hong Zeng et al.
JOURNAL OF THEORETICAL BIOLOGY (2009)
Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins
Debashish Ray et al.
NATURE BIOTECHNOLOGY (2009)
Predictina protein-protein interactions based only on sequences information
Juwen Shen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
RIP-Chip: the isolation and identification of mRNAs, microRNAs and protein components of ribonucleoprotein complexes from cell extracts
Jack D. Keene et al.
NATURE PROTOCOLS (2006)
The Protein Data Bank
HM Berman et al.
NUCLEIC ACIDS RESEARCH (2000)