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Open AccessJournal ArticleDOI

A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.

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TLDR
The expanded CMap is reported, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
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This article is published in Cell.The article was published on 2017-11-30 and is currently open access. It has received 1943 citations till now.

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Repurposing Multiple-Molecule Drugs for COVID-19-Associated Acute Respiratory Distress Syndrome and Non-Viral Acute Respiratory Distress Syndrome via a Systems Biology Approach and a DNN-DTI Model Based on Five Drug Design Specifications

TL;DR: To design multiple-molecule drugs of COVID-19-associated ARDS and non-viral ARDS, essential biomarkers as drug targets of pathogenesis are identified by comparing the core signal pathways between COVIDs-CoV-2-associatedARDS andNon-virus ARDS.
Journal ArticleDOI

Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders

TL;DR: For example, the authors report a multivariate genome-wide association meta-analysis that disaggregates general and substance-specific loci for published summary statistics of problematic alcohol use, problematic tobacco use, cannabis use disorder, and opioid use disorder in a sample of 1.025,550 individuals of European descent and 92,630 individuals of African descent.
Book ChapterDOI

Integration of Omics and Phenotypic Data for Precision Medicine.

TL;DR: In this article , the authors reviewed the research opportunities and applications of integrating omics and phenotypic data for precision medicine, such as understanding the relationship between genotype and phenotype, disease subtyping, and diagnosis or prediction of adverse outcomes.
Journal ArticleDOI

On transformative adaptive activation functions in neural networks for gene expression inference.

TL;DR: This paper proposed a novel transformative adaptive activation function that improves the gene expression inference even further and generalizes several existing adaptive activation functions, achieving an average mean absolute error of 0.1340.
References
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Journal Article

Visualizing Data using t-SNE

TL;DR: A new technique called t-SNE that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map, a variation of Stochastic Neighbor Embedding that is much easier to optimize, and produces significantly better visualizations by reducing the tendency to crowd points together in the center of the map.
Journal ArticleDOI

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

TL;DR: The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data and provides a flexible and open design that facilitates submission, storage and retrieval of heterogeneous data sets from high-power gene expression and genomic hybridization experiments.
Journal ArticleDOI

BLAT—The BLAST-Like Alignment Tool

TL;DR: How BLAT was optimized is described, which is more accurate and 500 times faster than popular existing tools for mRNA/DNA alignments and 50 times faster for protein alignments at sensitivity settings typically used when comparing vertebrate sequences.
Journal ArticleDOI

Adjusting batch effects in microarray expression data using empirical Bayes methods

TL;DR: This paper proposed parametric and non-parametric empirical Bayes frameworks for adjusting data for batch effects that is robust to outliers in small sample sizes and performs comparable to existing methods for large samples.
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