Search Results - "Mesirov, J. P."

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    Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring by Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., Bloomfield, C. D., Lander, E. S.

    “…Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or…”
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    Distinct physiological states of Plasmodium falciparum in malaria-infected patients by Mesirov, J. P, Regev, A, Daily, J. P, Scanfeld, D, Pochet, N, Le Roch, K, Plouffe, D, Kamal, M, Sarr, O, Mboup, S, Ndir, O, Wypij, D, Levasseur, K, Thomas, E, Tamayo, P, Dong, C, Zhou, Y, Lander, E. S, Ndiaye, D, Wirth, D, Winzeler, E. A

    Published in Nature (13-12-2007)
    “…Infection with the malaria parasite Plasmodium falciparum leads to widely different clinical conditions in children, ranging from mild flu-like symptoms to…”
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    Multiclass Cancer Diagnosis Using Tumor Gene Expression Signatures by Ramaswamy, Sridhar, Tamayo, Pablo, Rifkin, Ryan, Mukherjee, Sayan, Yeang, Chen-Hsiang, Angelo, Michael, Ladd, Christine, Reich, Michael, Latulippe, Eva, Mesirov, Jill P., Poggio, Tomaso, Gerald, William, Loda, Massimo, Lander, Eric S., Golub, Todd R.

    “…The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data…”
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    GeneCluster 2.0: an advanced toolset for bioarray analysis by Reich, M., Ohm, K., Angelo, M., Tamayo, P., Mesirov, J. P.

    Published in Bioinformatics (22-07-2004)
    “…GeneCluster 2.0 is a software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class…”
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    Hybrid system for protein secondary structure prediction by Zhang, X, Mesirov, J P, Waltz, D L

    Published in Journal of molecular biology (20-06-1992)
    “…We have developed a hybrid system to predict the secondary structures (alpha-helix, beta-sheet and coil) of proteins and achieved 66.4% accuracy, with…”
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    ARACHNE: a whole-genome shotgun assembler by Batzoglou, Serafim, Jaffe, David B, Stanley, Ken, Butler, Jonathan, Gnerre, Sante, Mauceli, Evan, Berger, Bonnie, Mesirov, Jill P, Lander, Eric S

    Published in Genome research (01-01-2002)
    “…We describe a new computer system, called ARACHNE, for assembling genome sequence using paired-end whole-genome shotgun reads. ARACHNE has several key…”
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    Chemosensitivity Prediction by Transcriptional Profiling by Staunton, Jane E., Slonim, Donna K., Coller, Hilary A., Tamayo, Pablo, Angelo, Michael J., Park, Johnny, Scherf, Uwe, Lee, Jae K., Reinhold, William O., Weinstein, John N., Mesirov, Jill P., Lander, Eric S., Golub, Todd R.

    “…In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line…”
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    Whole-genome sequence assembly for mammalian genomes: Arachne 2 by Jaffe, David B, Butler, Jonathan, Gnerre, Sante, Mauceli, Evan, Lindblad-Toh, Kerstin, Mesirov, Jill P, Zody, Michael C, Lander, Eric S

    Published in Genome research (01-01-2003)
    “…We previously described the whole-genome assembly program Arachne, presenting assemblies of simulated data for small to mid-sized genomes. Here we describe…”
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    Human and mouse gene structure: comparative analysis and application to exon prediction by Batzoglou, S, Pachter, L, Mesirov, J P, Berger, B, Lander, E S

    Published in Genome research (01-07-2000)
    “…We describe a novel analytical approach to gene recognition based on cross-species comparison. We first undertook a comparison of orthologous genomic loci from…”
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    Estimating dataset size requirements for classifying DNA microarray data by Mukherjee, Sayan, Tamayo, Pablo, Rogers, Simon, Rifkin, Ryan, Engle, Anna, Campbell, Colin, Golub, Todd R, Mesirov, Jill P

    Published in Journal of computational biology (01-01-2003)
    “…A statistical methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use…”
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    Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration by Thorvaldsdóttir, Helga, Robinson, James T, Mesirov, Jill P

    Published in Briefings in bioinformatics (01-03-2013)
    “…Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and…”
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    ATARiS: computational quantification of gene suppression phenotypes from multisample RNAi screens by Shao, Diane D, Tsherniak, Aviad, Gopal, Shuba, Weir, Barbara A, Tamayo, Pablo, Stransky, Nicolas, Schumacher, Steven E, Zack, Travis I, Beroukhim, Rameen, Garraway, Levi A, Margolin, Adam A, Root, David E, Hahn, William C, Mesirov, Jill P

    Published in Genome research (01-04-2013)
    “…Genome-scale RNAi libraries enable the systematic interrogation of gene function. However, the interpretation of RNAi screens is complicated by the observation…”
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    Initial sequencing and analysis of the human genome by Lander, E S, Linton, L M, Birren, B, Nusbaum, C, Zody, M C, Baldwin, J, Devon, K, Dewar, K, Doyle, M, FitzHugh, W, Funke, R, Gage, D, Harris, K, Heaford, A, Howland, J, Kann, L, Lehoczky, J, LeVine, R, McEwan, P, McKernan, K, Meldrim, J, Mesirov, J P, Miranda, C, Morris, W, Naylor, J, Raymond, C, Rosetti, M, Santos, R, Sheridan, A, Sougnez, C, Stange-Thomann, Y, Stojanovic, N, Subramanian, A, Wyman, D, Rogers, J, Sulston, J, Ainscough, R, Beck, S, Bentley, D, Burton, J, Clee, C, Carter, N, Coulson, A, Deadman, R, Deloukas, P, Dunham, A, Dunham, I, Durbin, R, French, L, Grafham, D, Gregory, S, Hubbard, T, Humphray, S, Hunt, A, Jones, M, Lloyd, C, McMurray, A, Matthews, L, Mercer, S, Milne, S, Mullikin, J C, Mungall, A, Plumb, R, Ross, M, Shownkeen, R, Sims, S, Waterston, R H, Wilson, R K, Hillier, L W, McPherson, J D, Marra, M A, Mardis, E R, Fulton, L A, Chinwalla, A T, Pepin, K H, Gish, W R, Chissoe, S L, Wendl, M C, Delehaunty, K D, Miner, T L, Delehaunty, A, Kramer, J B, Cook, L L, Fulton, R S, Johnson, D L, Minx, P J, Clifton, S W, Hawkins, T, Branscomb, E, Predki, P, Richardson, P, Wenning, S, Slezak, T, Doggett, N, Cheng, J F, Olsen, A, Lucas, S, Elkin, C, Uberbacher, E, Frazier, M

    Published in Nature (London) (15-02-2001)
    “…The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an…”
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    An RNA profile identifies two subsets of multiple sclerosis patients differing in disease activity by Ottoboni, Linda, Keenan, Brendan T, Tamayo, Pablo, Kuchroo, Manik, Mesirov, Jill P, Buckle, Guy J, Khoury, Samia J, Hafler, David A, Weiner, Howard L, De Jager, Philip L

    Published in Science translational medicine (26-09-2012)
    “…The multiple sclerosis (MS) patient population is highly heterogeneous in terms of disease course and treatment response. We used a transcriptional profile…”
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    MicroSCALE screening reveals genetic modifiers of therapeutic response in melanoma by Wood, Kris C, Konieczkowski, David J, Johannessen, Cory M, Boehm, Jesse S, Tamayo, Pablo, Botvinnik, Olga B, Mesirov, Jill P, Hahn, William C, Root, David E, Garraway, Levi A, Sabatini, David M

    Published in Science signaling (15-05-2012)
    “…Cell microarrays are a promising tool for performing large-scale functional genomic screening in mammalian cells at reasonable cost, but owing to technical…”
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