about
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRIn silico prediction of novel therapeutic targets using gene-disease association data.Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice.Machine learning for epigenetics and future medical applications.The Next Era: Deep Learning in Pharmaceutical Research.nRC: non-coding RNA Classifier based on structural features.Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.Recent Successes and Future Directions in Immunotherapy of Cutaneous Melanoma.DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation.Predicting human protein function with multi-task deep neural networks.Information-Based Medicine in Glioma Patients: A Clinical Perspective.Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision MedicineA Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data ClassificationPrediction of Pseudoprogression versus Progression using Machine Learning Algorithm in GlioblastomaG2Vec: Distributed gene representations for identification of cancer prognostic genesMachine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome AnalysisMultiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
P2860
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P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Deep learning in bioinformatics.
@en
type
label
Deep learning in bioinformatics.
@en
prefLabel
Deep learning in bioinformatics.
@en
P2093
P2860
P356
P1476
Deep learning in bioinformatics.
@en
P2093
Byunghan Lee
Seonwoo Min
Sungroh Yoon
P2860
P356
10.1093/BIB/BBW068
P577
2016-07-29T00:00:00Z