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link: https://arxiv.org/abs/2104.11364
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- id: doi:10.48550/arxiv.2109.08633
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title: An Open-Publishing Response to the COVID-19 Infodemic
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authors:
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- Halie M. Rando
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- Simina M. Boca
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- Lucy D'Agostino McGowan
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- Daniel S. Himmelstein
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- Michael P. Robson
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- Vincent Rubinetti
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- Ryan Velazquez
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- COVID-19 Review Consortium
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- Casey S. Greene
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- Anthony Gitter
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publisher: arXiv
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date: '2021-01-01'
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- id: doi:10.1016/j.cels.2021.07.007
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title: Analysis of scientific society honors reveals disparities
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authors:
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- open science
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- collaboration
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repo: greenelab/meta-review
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title: ''
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title: Parameter tuning is a key part of dimensionality reduction via deep variational
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autoencoders for single cell RNA transcriptomics
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authors:
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- Qiwen Hu
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- Casey S. Greene
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publisher: Cold Spring Harbor Laboratory
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date: '2018-08-05'
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title: Sequential compression of gene expression across dimensionalities and methods
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reveals no single best method or dimensionality
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title: Cross-platform normalization of microarray and RNA-seq data for machine learning
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applications
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title: Nothing but a hound dog
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Discovery
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text: Raw networks
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- title: Unsupervised feature construction and knowledge extraction from genome-wide
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assays of breast cancer with denoising autoencoders
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Portal
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Evolutionary Computation 2008'
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title: An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis
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Using Genetic Programming
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title: Comprehensive Cross-Population Analysis of High-Grade Serous Ovarian Cancer
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Supports No More Than Three Subtypes

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