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Biology and Biochemistry

D-Index
77
Citations
20202
World Ranking
4807
National Ranking
169

Overview

Paul Pavlidis is affiliated with the University of British Columbia in Canada. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on various subfields including Molecular Biology, Genetics, Neurology, Biophysics, and Cancer Research.

Their scholarly output addresses a range of topics within these disciplines. Key areas of work include:

  • Single-cell and spatial transcriptomics
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Neuroinflammation and Neurodegeneration Mechanisms
  • RNA and protein synthesis mechanisms
  • Gene expression and cancer classification

Paul Pavlidis has contributed publications to several venues with repeated appearances, indicating established research activity. Frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • European Neuropsychopharmacology
  • The American Journal of Human Genetics
  • Genome Research

Among the recent papers authored or co-authored by Paul Pavlidis are:

  • Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons, 2020, Nature Neuroscience
  • Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction, 2020, Nature Communications
  • Curation of over 10,000 transcriptomic studies to enable data reuse, 2021, Database
  • The Canadian Rare Diseases Models and Mechanisms (RDMM) Network: Connecting Understudied Genes to Model Organisms, 2020, The American Journal of Human Genetics
  • Untangling the effects of cellular composition on coexpression analysis, 2020, Genome Research

Collaboration is notable in Paul Pavlidis's work, with frequent co-authors including:

  • Sanja Rogić
  • Guillaume Poirier-Morency
  • Eric Ching-Pan Chu
  • Alexander M. Morin
  • Manuel Belmadani

Best Publications

  • Coexpression Analysis of Human Genes Across Many Microarray Data Sets

    Homin K. Lee;Amy K. Hsu;Jon Sajdak;Jie Qin

  • Molecular and Functional Heterogeneity of Hyperpolarization-Activated Pacemaker Channels in the Mouse CNS

    Bina Santoro;Shan Chen;Anita Lüthi;Paul Pavlidis

  • Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model

    Kimberly L. Stark;Bin Xu;Anindya Bagchi;Wen Sung Lai

  • Zac1 Regulates an Imprinted Gene Network Critically Involved in the Control of Embryonic Growth

    Annie Varrault;Charlotte Gueydan;Annie Delalbre;Anja Bellmann

  • Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons.

    Corina Nagy;Malosree Maitra;Arnaud Tanti;Matthew Suderman

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • Gene functional classification from heterogeneous data

    Paul Pavlidis;Jason Weston;Jinsong Cai;William Noble Grundy

  • Matrix2png: a utility for visualizing matrix data

    Paul Pavlidis;William Stafford Noble

  • De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability

    S E McCarthy;J Gillis;M Kramer;J Lihm

  • Analysis of strain and regional variation in gene expression in mouse brain

    Paul Pavlidis;William S Noble

  • miR-1202 is a primate-specific and brain-enriched microRNA involved in major depression and antidepressant treatment.

    Juan Pablo Lopez;Raymond Lim;Cristiana Cruceanu;Liam Crapper

  • Learning Gene Functional Classifications from Multiple Data Types

    Paul Pavlidis;Jason Weston;Jinsong Cai;William Stafford Noble

  • ErmineJ: Tool for functional analysis of gene expression data sets

    Homin K Lee;William Braynen;William Braynen;Kiran Keshav;Paul Pavlidis

  • Activation of MAPK pathways links LMNA mutations to cardiomyopathy in Emery-Dreifuss muscular dystrophy

    Antoine Muchir;Paul Pavlidis;Valérie Decostre;Alan J. Herron

  • Inducible enhancement of memory storage and synaptic plasticity in transgenic mice expressing an inhibitor of ATF4 (CREB-2) and C/EBP proteins.

    Amy Chen;Isabel A Muzzio;Gaël Malleret;Dusan Bartsch

  • Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms

    Michael Barnes;Johannes Freudenberg;Susan Thompson;Bruce Aronow

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • The Drosophila Easily Shocked Gene: A Mutation in a Phospholipid Synthetic Pathway Causes Seizure, Neuronal Failure, and Paralysis

    Paul Pavlidis;Mani Ramaswami;Mark A. Tanouye

  • Using the Gene Ontology for Microarray Data Mining: A Comparison of Methods and Application to Age Effects in Human Prefrontal Cortex

    Paul Pavlidis;Jie Qin;Victoria Arango;Victoria Arango;John J. Mann;John J. Mann

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Etienne Sibille
Etienne Sibille University of Toronto
William Stafford Noble
William Stafford Noble University of Washington
Panos N. Papapanou
Panos N. Papapanou Columbia University
Victoria Arango
Victoria Arango Columbia University
Christopher M. Overall
Christopher M. Overall University of British Columbia
Gustavo Turecki
Gustavo Turecki Douglas Mental Health University Institute
Catharine H. Rankin
Catharine H. Rankin University of British Columbia
Hanga Galfalvy
Hanga Galfalvy Columbia University
Christophe Dessimoz
Christophe Dessimoz University College London
Bruce J. Aronow
Bruce J. Aronow Cincinnati Children's Hospital Medical Center

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