Robert F. Murphy mostly deals with Artificial intelligence, Endosome, Biochemistry, DNA and Cell biology. His Artificial intelligence study integrates concerns from other disciplines, such as Fluorescence microscope, Drug discovery, Computer vision and Pattern recognition. He interconnects Contextual image classification, Proteomics, Feature and Microscopy in the investigation of issues within Pattern recognition.
Robert F. Murphy combines subjects such as Lysosome, Endocytic cycle, Endocytosis and Transferrin with his study of Endosome. His work deals with themes such as Biophysics, Flow cytometry and Fluorescence spectrometry, which intersect with Biochemistry. Robert F. Murphy has included themes like Molecular biology, Neuroblastoma, Pathology and Cytometry in his DNA study.
Robert F. Murphy spends much of his time researching Artificial intelligence, Cell biology, Computational biology, Pattern recognition and Biochemistry. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Bioinformatics, Computer vision and Fluorescence microscope. His research in Cell biology focuses on subjects like Proteomics, which are connected to Protein location.
In the field of Computational biology, his study on Systems biology overlaps with subjects such as Human Protein Atlas. His Pattern recognition research integrates issues from Feature, Artificial neural network, Set and A protein, Protein subcellular location. His Biochemistry research is multidisciplinary, relying on both Cell culture and Biophysics.
The scientist’s investigation covers issues in Computational biology, Cell, Artificial intelligence, Cell biology and T cell. Robert F. Murphy has researched Computational biology in several fields, including Virus and Viral replication. His Cell study also includes
The Artificial intelligence study combines topics in areas such as Spatial organization, Machine learning and Systems biology. His Cell biology research incorporates elements of Tumor microenvironment, Secretion, CD8, Antigen and Cytotoxic T cell. His Image research is multidisciplinary, incorporating perspectives in Construct, Generative grammar, Cell shape and Pattern recognition.
Robert F. Murphy focuses on Computational biology, Systems biology, Artificial intelligence, Cell biology and Biochemistry. His work carried out in the field of Computational biology brings together such families of science as Image based, Microtubule, Fluorescence-lifetime imaging microscopy and Microscopy. His Systems biology research focuses on High-content screening and how it relates to Bioinformatics.
Robert F. Murphy brings together Artificial intelligence and Reflection to produce work in his papers. His Cell biology research includes elements of Amino acid and Lysosome. His work on Serine, Threonine, Protein kinase domain and MAPK/ERK pathway as part of general Biochemistry research is frequently linked to Protein quaternary structure, thereby connecting diverse disciplines of science.
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Hybridization of synthetic oligodeoxyribonucleotides to ΦX 174 DNA: the effect of single base pair mismatch
R. Bruce Wallace;J. Shaffer;R.F. Murphy;J. Bonner.
Nucleic Acids Research (1979)
Convention on nomenclature for DNA cytometry
Wolfgang Hiddemann;Johannes Schumann;Michael Andreeff;Barthel Barlogie.
Biological imaging software tools
Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez.
Nature Methods (2012)
A Neural Network Classifier Capable of Recognizing the Patterns of All Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells
Michael V. Boland;Robert F. Murphy.
Effect of Bafilomycin A1 and Nocodazole on Endocytic Transport in HeLa Cells: Implications for Viral Uncoating and Infection
Nora Bayer;Daniela Schober;Elisabeth Prchla;Robert F. Murphy.
Journal of Virology (1998)
A method for incorporating macromolecules into adherent cells.
P L McNeil;R F Murphy;F Lanni;D L Taylor.
Journal of Cell Biology (1984)
Endosome pH measured in single cells by dual fluorescence flow cytometry: rapid acidification of insulin to pH 6.
R F Murphy;S Powers;C R Cantor.
Journal of Cell Biology (1984)
Physical disability and social liminality: A study in the rituals of adversity
Robert F. Murphy;Jessica Scheer;Yolanda Murphy;Richard Mack.
Social Science & Medicine (1988)
Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images
Michael V. Boland;Mia K. Markey;Robert F. Murphy.
Automated subcellular location determination and high-throughput microscopy.
Estelle Glory;Robert F. Murphy.
Developmental Cell (2007)
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