Literature DB >> 30504887

Bayesian deep learning for single-cell analysis.

Gregory P Way1, Casey S Greene2.   

Abstract

Mesh：

Year:  2018        PMID： 30504887     DOI： 10.1038/s41592-018-0230-9

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  5 in total

Review 1.  Systems serology for decoding infection and vaccine-induced antibody responses to HIV-1.

Authors:  Srivamshi Pittala; Kyle S Morrison; Margaret E Ackerman
Journal:  Curr Opin HIV AIDS       Date:  2019-07       Impact factor: 4.283

2.  Context-Specific Transcription Factor Functions Regulate Epigenomic and Transcriptional Dynamics during Cardiac Reprogramming.

Authors:  Nicole R Stone; Casey A Gifford; Reuben Thomas; Karishma J B Pratt; Kaitlen Samse-Knapp; Tamer M A Mohamed; Ethan M Radzinsky; Amelia Schricker; Lin Ye; Pengzhi Yu; Joke G van Bemmel; Kathryn N Ivey; Katherine S Pollard; Deepak Srivastava
Journal:  Cell Stem Cell       Date:  2019-07-03       Impact factor: 24.633

3.  Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data.

Authors:  Carlos Torroja; Fatima Sanchez-Cabo
Journal:  Front Genet       Date:  2019-10-25       Impact factor: 4.599

4.  Interpretable Autoencoders Trained on Single Cell Sequencing Data Can Transfer Directly to Data from Unseen Tissues.

Authors:  Julie Sparholt Walbech; Savvas Kinalis; Ole Winther; Finn Cilius Nielsen; Frederik Otzen Bagger
Journal:  Cells       Date:  2021-12-28       Impact factor: 6.600

5.  Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis.

Authors:  Shiquan Sun; Jiaqiang Zhu; Ying Ma; Xiang Zhou
Journal:  Genome Biol       Date:  2019-12-10       Impact factor: 13.583
  5 in total

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