Suchergebnisse - "IEEE/ACM transactions on computational biology and bioinformatics"

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection von Hu, Yue, Liu, Jin-Xing, Gao, Ying-Lian, Shang, Junliang

“… The identification of differentially expressed genes plays an increasingly important role biologically. Therefore, the feature selection approach has attracted …”
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Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes von Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

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Big Data Analytics on Lung Cancer Diagnosis Framework With Deep Learning von Peiyuan Guan, Keping Yu, Wei Wei, YanLin Tan, Jia Wu

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SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention von Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang

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A Method for Inferring Polymers Based on Linear Regression and Integer Programming von Ido, Ryota, Cao, Shengjuan, Zhu, Jianshen, Azam, Naveed Ahmed, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya

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Tropical Density Estimation of Phylogenetic Trees von Ruriko Yoshida, David Barnhill, Keiji Miura, Daniel Howe

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Boltzmann Machine Learning and Regularization Methods for Inferring Evolutionary Fields and Couplings From a Multiple Sequence Alignment von Sanzo Miyazawa

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Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets von Jie Xing, Zheren Li, Biyuan Wang, Yuji Qi, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan

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Improved DNA-versus-Protein Homology Search for Protein Fossils von Yin Yao, Martin C. Frith

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imPhy: Imputing Phylogenetic Trees with Missing Information Using Mathematical Programming von Niko Yasui, Chrysafis Vogiatzis, Ruriko Yoshida, Kenji Fukumizu

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Algorithms for Pedigree Comparison von Jianxin Wang, Chao Shen, Qilong Feng, Zhi-Zhong Chen, Lusheng Wang

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Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images von Song, Ying, Zheng, Shuangjia, Li, Liang, Zhang, Xiang, Zhang, Xiaodong, Huang, Ziwang, Chen, Jianwen, Wang, Ruixuan, Zhao, Huiying, Chong, Yutian, Shen, Jun, Zha, Yunfei, Yang, Yuedong

“… A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues …”
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XGBoost Model for Chronic Kidney Disease Diagnosis von Ogunleye, Adeola, Wang, Qing-Guo

“… Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and …”
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CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support von Zhou, Xiaokang, Li, Yue, Liang, Wei

“… The rapidly developed Health 2.0 technology has provided people with more opportunities to conduct online medical consultation than ever before. Understanding …”
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EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications von Gu, Xiaotong, Cao, Zehong, Jolfaei, Alireza, Xu, Peng, Wu, Dongrui, Jung, Tzyy-Ping, Lin, Chin-Teng

“… Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and …”
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KATZLGO: Large-Scale Prediction of LncRNA Functions by Using the KATZ Measure Based on Multiple Networks von Zhang, Zuping, Zhang, Jingpu, Fan, Chao, Tang, Yongjun, Deng, Lei

“… Aggregating evidences have shown that long non-coding RNAs (lncRNAs) generally play key roles in cellular biological processes such as epigenetic regulation, …”
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A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data von Sun, Dongdong, Wang, Minghui, Li, Ao

“… Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate prognosis prediction of breast cancer can spare a significant …”
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Graph Convolutional Networks for Drug Response Prediction von Nguyen, Tuan, Nguyen, Giang T. T., Nguyen, Thin, Le, Duc-Hau

“… Background : Drug response prediction is an important problem in computational personalized medicine. Many machine-learning-based methods, especially deep …”
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Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data von Le, Ngoc Tu, Ho, Tu Bao, Ho, Bich Hai

“… Eukaryotic gene transcription is a complex process, which requires the orchestrated recruitment of a large number of proteins, such as sequence-specific DNA …”
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MatchMaker: A Deep Learning Framework for Drug Synergy Prediction von Kuru, Halil Ibrahim, Tastan, Oznur, Cicek, A. Ercument

“… Drug combination therapies have been a viable strategy for the treatment of complex diseases such as cancer due to increased efficacy and reduced side effects …”
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