Literature DB >> 27136685

TensorFlow: Biology's Gateway to Deep Learning?

Ladislav Rampasek1, Anna Goldenberg2.   

Abstract

TensorFlow is Google's recently released open-source software for deep learning. What are its applications for computational biology?
Copyright © 2016 Elsevier Inc. All rights reserved.

Mesh：

Year:  2016        PMID： 27136685     DOI： 10.1016/j.cels.2016.01.009

Source DB:  PubMed          Journal:  Cell Syst        ISSN： 2405-4712            Impact factor:   10.304


  35 in total

1.  Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Authors:  Michelle Y T Yip; Gilbert Lim; Zhan Wei Lim; Quang D Nguyen; Crystal C Y Chong; Marco Yu; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Tien-En Tan; Charumathi Sabanayagam; Andrzej Grzybowski; Gavin S W Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong; Daniel S W Ting
Journal:  NPJ Digit Med       Date:  2020-03-23

2.  Multi-Model Sensor Fault Detection and Data Reconciliation: A Case Study with Glucose Concentration Sensors for Diabetes.

Authors:  Jianyuan Feng; Iman Hajizadeh; Xia Yu; Mudassir Rashid; Sediqeh Samadi; Mert Sevil; Nicole Hobbs; Rachel Brandt; Caterina Lazaro; Zacharie Maloney; Elizabeth Littlejohn; Laurie Quinn; Ali Cinar
Journal:  AIChE J       Date:  2018-10-05       Impact factor: 3.993

3.  Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Authors:  Maximilian Treder; Jost Lennart Lauermann; Nicole Eter
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-08-08       Impact factor: 3.117

4.  MCADNNet: Recognizing Stages of Cognitive Impairment through Efficient Convolutional fMRI and MRI Neural Network Topology Models.

Authors:  Saman Sarraf; Danielle D Desouza; John Anderson; Cristina Saverino
Journal:  IEEE Access       Date:  2019-10-25       Impact factor: 3.367

5.  Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.

Authors:  Maximilian Treder; Jost Lennart Lauermann; Nicole Eter
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-11-20       Impact factor: 3.117

Review 6.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

7.  Deep learning massively accelerates super-resolution localization microscopy.

Authors:  Wei Ouyang; Andrey Aristov; Mickaël Lelek; Xian Hao; Christophe Zimmer
Journal:  Nat Biotechnol       Date:  2018-04-16       Impact factor: 54.908

Review 8.  Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.

Authors:  Minghui Wang; Won-Min Song; Chen Ming; Qian Wang; Xianxiao Zhou; Peng Xu; Azra Krek; Yonejung Yoon; Lap Ho; Miranda E Orr; Guo-Cheng Yuan; Bin Zhang
Journal:  Mol Neurodegener       Date:  2022-03-02       Impact factor: 18.879

9.  Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks.

Authors:  Xiaofeng Wang; Renxiang Yan; Yong-Zi Chen; Yongji Wang
Journal:  Plant Mol Biol       Date:  2021-02-01       Impact factor: 4.076

10.  Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells.

Authors:  Keiko Imamura; Yuichiro Yada; Yuishin Izumi; Mitsuya Morita; Akihiro Kawata; Takayo Arisato; Ayako Nagahashi; Takako Enami; Kayoko Tsukita; Hideshi Kawakami; Masanori Nakagawa; Ryosuke Takahashi; Haruhisa Inoue
Journal:  Ann Neurol       Date:  2021-02-25       Impact factor: 10.422
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