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45 result(s) for 'author#Atul J Butte' within BMC

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  1. A report on the 6th annual Future of Genomic Medicine conference, held at the Scripps Seaside Forum, La Jolla, CA, USA, March 7-8, 2013.

    Authors: Konrad J Karczewski
    Citation: Genome Biology 2013 14:304
  2. Angiotensin-converting enzyme 2 (ACE2) is the cell-entry receptor for SARS-CoV-2. It plays critical roles in both the transmission and the pathogenesis of COVID-19. Comprehensive profiling of ACE2 expression p...

    Authors: Navchetan Kaur, Boris Oskotsky, Atul J. Butte and Zicheng Hu
    Citation: Genome Biology 2022 23:15
  3. The advent of clinical trial data sharing platforms has created opportunities for making new discoveries and answering important questions using already collected data. However, existing methods for meta-analy...

    Authors: Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas V. Arneson, Arman Mosenia, Atul J. Butte and Shan Wang
    Citation: BMC Medical Research Methodology 2023 23:218
  4. Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging ele...

    Authors: Andrew Bishara, Catherine Chiu, Elizabeth L. Whitlock, Vanja C. Douglas, Sei Lee, Atul J. Butte, Jacqueline M. Leung and Anne L. Donovan
    Citation: BMC Anesthesiology 2022 22:8
  5. The volume of publicly available genomic scale data is increasing. Genomic datasets in public repositories are annotated with free-text fields describing the pathological state of the studied sample. These ann...

    Authors: Nigam H Shah, Clement Jonquet, Annie P Chiang, Atul J Butte, Rong Chen and Mark A Musen
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S1

    This article is part of a Supplement: Volume 10 Supplement 2

  6. Understanding a tumor’s complex cellular heterogeneity will be crucial for the development of better treatment strategies. A new study suggests a novel method for the in silico dissociation of solid tumors and...

    Authors: Dvir Aran and Atul J. Butte
    Citation: Genome Biology 2016 17:175
  7. Genome-wide association studies (GWASs) have revealed relationships between over 57,000 genetic variants and diseases. However, unlike Mendelian diseases, complex diseases arise from the interplay of multiple ...

    Authors: Takashi Kido, Weronika Sikora-Wohlfeld, Minae Kawashima, Shinichi Kikuchi, Naoyuki Kamatani, Anil Patwardhan, Richard Chen, Marina Sirota, Keiichi Kodama, Dexter Hadley and Atul J. Butte
    Citation: BMC Medical Genomics 2018 11:3
  8. Long-term environmental variables are widely understood to play important roles in DNA variation. Previously, clinical studies examining the impacts of these variables on the human genome were localized to a s...

    Authors: Irving Hsu, Rong Chen, Aditya Ramesh, Erik Corona, Hyunseok Peter Kang, David Ruau and Atul J Butte
    Citation: BMC Medical Genetics 2013 14:62
  9. Patients are beginning to present to healthcare providers with the results of high-throughput individualized genotyping, and interpreting these results in the context of the explosive growth of literature link...

    Authors: Alexander A Morgan, Rong Chen and Atul J Butte
    Citation: Genome Medicine 2010 2:30
  10. Whole genome sequencing is poised to revolutionize personalized medicine, providing the capacity to classify individuals into risk categories for a wide range of diseases. Here we begin to explore how whole ge...

    Authors: Chirag J Patel, Ambily Sivadas, Rubina Tabassum, Thanawadee Preeprem, Jing Zhao, Dalia Arafat, Rong Chen, Alexander A Morgan, Gregory S Martin, Kenneth L Brigham, Atul J Butte and Greg Gibson
    Citation: Genome Medicine 2013 5:58
  11. A key challenge in pharmacogenomics is the identification of genes whose variants contribute to drug response phenotypes, which can include severe adverse effects. Pharmacogenomics GWAS attempt to elucidate ge...

    Authors: Nicholas P Tatonetti, Joel T Dudley, Hersh Sagreiya, Atul J Butte and Russ B Altman
    Citation: BMC Bioinformatics 2010 11(Suppl 9):S9

    This article is part of a Supplement: Volume 11 Supplement 9

  12. With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and info...

    Authors: Joel T Dudley, Yannick Pouliot, Rong Chen, Alexander A Morgan and Atul J Butte
    Citation: Genome Medicine 2010 2:51
  13. Combining the results of studies using highly parallelized measurements of gene expression such as microarrays and RNAseq offer unique challenges in meta analysis. Motivated by a need for a deeper understandin...

    Authors: Alexander A Morgan, Purvesh Khatri, Richard Hayden Jones, Minnie M Sarwal and Atul J Butte
    Citation: BMC Bioinformatics 2010 11(Suppl 9):S6

    This article is part of a Supplement: Volume 11 Supplement 9

  14. The development of large-scale gene expression profiling technologies is rapidly changing the norms of biological investigation. But the rapid pace of change itself presents challenges. Commercial microarrays ...

    Authors: Ashish Nimgaonkar, Despina Sanoudou, Atul J Butte, Judith N Haslett, Louis M Kunkel, Alan H Beggs and Isaac S Kohane
    Citation: BMC Bioinformatics 2003 4:27
  15. The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinformaticians, but has not been easily access...

    Authors: Rong Chen, Rohan Mallelwar, Ajit Thosar, Shivkumar Venkatasubrahmanyam and Atul J Butte
    Citation: BMC Bioinformatics 2008 9:548