Literature DB >> 33606258

Deep Learning Applied on Next Generation Sequencing Data Analysis.

Artem Danilevsky1, Noam Shomron2.   

Abstract

Deep learning is defined as the group of computational techniques allowing for the discovery of latent information within large amounts of data. Recently, many fields have seen the immense potential of deep learning to solve various tasks in ways which outperformed many other traditional methods. Genomic research could be the next frontier to take advantage of deep learning, as it has the perfect combination of vast amounts of data and diverse tasks. Here we present the platform we generated to combine deep learning and genomic sequencing data. We tested the platform on publicly available sequencing data from the gut microbiome of cancer patients. We showed that our platform is capable of classifying patients with higher accuracy than other methods, with some caveats. Overall, we believe genomic research is the next frontline for deep learning as there are exciting avenues waiting to be explored. We think that our platform, presented here, could serve as the basis for such future research.

Entities:  

Keywords:  Cancer detection; Computational techniques; Deep learning; Genomic research

Mesh:

Year:  2021        PMID: 33606258     DOI: 10.1007/978-1-0716-1103-6_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Long short-term memory.

Authors:  S Hochreiter; J Schmidhuber
Journal:  Neural Comput       Date:  1997-11-15       Impact factor: 2.026

Review 2.  A survey on deep learning in medical image analysis.

Authors:  Geert Litjens; Thijs Kooi; Babak Ehteshami Bejnordi; Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Mohsen Ghafoorian; Jeroen A W M van der Laak; Bram van Ginneken; Clara I Sánchez
Journal:  Med Image Anal       Date:  2017-07-26       Impact factor: 8.545

3.  Sensitive high-performance liquid chromatographic determination of ionic drugs in biological fluids with short-wavelength ultraviolet detection using column switching combined with ion-pair chromatography: application to basic compounds.

Authors:  K Yamashita; M Motohashi; T Yashiki
Journal:  J Chromatogr       Date:  1989-02-24

4.  A universal SNP and small-indel variant caller using deep neural networks.

Authors:  Ryan Poplin; Pi-Chuan Chang; David Alexander; Scott Schwartz; Thomas Colthurst; Alexander Ku; Dan Newburger; Jojo Dijamco; Nam Nguyen; Pegah T Afshar; Sam S Gross; Lizzie Dorfman; Cory Y McLean; Mark A DePristo
Journal:  Nat Biotechnol       Date:  2018-09-24       Impact factor: 54.908

5.  Potential of fecal microbiota for early-stage detection of colorectal cancer.

Authors:  Georg Zeller; Julien Tap; Anita Y Voigt; Shinichi Sunagawa; Jens Roat Kultima; Paul I Costea; Aurélien Amiot; Jürgen Böhm; Francesco Brunetti; Nina Habermann; Rajna Hercog; Moritz Koch; Alain Luciani; Daniel R Mende; Martin A Schneider; Petra Schrotz-King; Christophe Tournigand; Jeanne Tran Van Nhieu; Takuji Yamada; Jürgen Zimmermann; Vladimir Benes; Matthias Kloor; Cornelia M Ulrich; Magnus von Knebel Doeberitz; Iradj Sobhani; Peer Bork
Journal:  Mol Syst Biol       Date:  2014-11-28       Impact factor: 11.429

6.  Prediction of enhancer-promoter interactions via natural language processing.

Authors:  Wanwen Zeng; Mengmeng Wu; Rui Jiang
Journal:  BMC Genomics       Date:  2018-05-09       Impact factor: 3.969

7.  Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

Authors:  Cao Xiao; Edward Choi; Jimeng Sun
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

8.  ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples.

Authors:  Ardi Tampuu; Zurab Bzhalava; Joakim Dillner; Raul Vicente
Journal:  PLoS One       Date:  2019-09-11       Impact factor: 3.240

  8 in total
  1 in total

1.  Concat_CNN: A Model to Detect COVID-19 from Chest X-ray Images with Deep Learning.

Authors:  Priyanka Saha; Sarmistha Neogy
Journal:  SN Comput Sci       Date:  2022-05-23
  1 in total

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