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A deep learning model for prediction of autism status using whole-exome sequencing data.

• Authors : Wu Q; Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, United States of America.; Center for Translational Neuroscience, Robert J. and Nancy D. Carney Institute for Brain Science and Brown Institute for Translational Science, Brown University, Providence, Rhode Island, United States of America.

Subjects: Deep Learning* ; Autistic Disorder*/Autistic Disorder*/Autistic Disorder*/genetics ; Exome Sequencing*/Exome Sequencing*/Exome Sequencing*/methods

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Nov 08; Vol. 20 (11), pp. e1012468. Date of Electronic Publication: 2024 Nov 08 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons.

• Authors : Sarangi V; Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.; Jang Y

Subjects: Exome* ; Software*; High-Throughput Nucleotide Sequencing

• Source: PLoS computational biology [PLoS Comput Biol] 2022 Apr 20; Vol. 18 (4), pp. e1009487. Date of Electronic Publication: 2022 Apr 20 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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TAPES: A tool for assessment and prioritisation in exome studies.

• Authors : Xavier, Alexandre¹ (AUTHOR) ; Scott, Rodney J.^1,2 (AUTHOR); Talseth-Palmer, Bente A.^1,3 (AUTHOR)

• Source: PLoS Computational Biology. 10/15/2019, Vol. 10 Issue 15, p1-9. 9p. 3 Graphs.

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Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets.

• Authors : Samadian, Soroush¹; Bruce, Jeff P.¹; Pugh, Trevor J.^1,2,3

• Source: PLoS Computational Biology. 3/28/2018, Vol. 14 Issue 3, p1-18. 18p. 1 Diagram, 1 Chart, 4 Graphs.

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NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.

• Authors : Le Morvan, Marine^1,2,3; Zinovyev, Andrei^1,2,3; Vert, Jean-Philippe^1,2,3,4

• Source: PLoS Computational Biology. 6/26/2017, Vol. 13 Issue 6, p1-29. 29p.

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Exome Sequencing and Prediction of Long-Term Kidney Allograft Function.

• Authors : Mesnard, Laurent^1,2,3; Muthukumar, Thangamani^4,5; Burbach, Maren⁴

• Source: PLoS Computational Biology. 9/29/2016, Vol. 12 Issue 9, p1-15. 15p.

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Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets

• Authors : Jeff Bruce; Trevor J. Pugh; Soroush Samadian

Subjects: 0301 basic medicine; Source code; Heredity

• Source: PLoS Computational BiologyPLoS Computational Biology, Vol 14, Iss 3, p e1006080 (2018)

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A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization.

• Authors : Monnier L; Paris-Saclay University, CentraleSupélec, Laboratory of Mathematics and Computer Science (MICS), Gif-sur-Yvette, France.; Cournède PH

Subjects: Single-Cell Gene Expression Analysis* ; Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods; Humans

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Feb 22; Vol. 20 (2), pp. e1011880. Date of Electronic Publication: 2024 Feb 22 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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SavvyCNV: Genome-wide CNV calling from off-target reads.

• Authors : Laver TW; Institute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.; De Franco E

Subjects: DNA Copy Number Variations*/DNA Copy Number Variations*/DNA Copy Number Variations*/genetics ; High-Throughput Nucleotide Sequencing*; Algorithms

• Source: PLoS computational biology [PLoS Comput Biol] 2022 Mar 16; Vol. 18 (3), pp. e1009940. Date of Electronic Publication: 2022 Mar 16 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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scAmpi-A versatile pipeline for single-cell RNA-seq analysis from basics to clinics.

• Authors : Bertolini A; Tumor Profiler consortium

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Software*; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/methods

• Source: PLoS computational biology [PLoS Comput Biol] 2022 Jun 03; Vol. 18 (6), pp. e1010097. Date of Electronic Publication: 2022 Jun 03 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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