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Biostatistics are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Michael Bruce Eisen is an American computational biologist and the editor-in-chief of the journal eLife. He is a professor of genetics, genomics and development at University of California, Berkeley. He is a leading advocate of open access scientific publishing and is co-founder of Public Library of Science (PLOS). In 2018, Eisen announced his candidacy U.S. Senate from California as an Independent, though he failed to qualify for the ballot.
Microarray analysis techniques are used in interpreting the data generated from experiments on DNA, RNA, and protein microarrays, which allow researchers to investigate the expression state of a large number of genes - in many cases, an organism's entire genome - in a single experiment. Such experiments can generate very large amounts of data, allowing researchers to assess the overall state of a cell or organism. Data in such large quantities is difficult - if not impossible - to analyze without the help of computer programs.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.
Fold change is a measure describing how much a quantity changes between an original and a subsequent measurement. It is defined as the ratio between the two quantities; for quantities A and B the fold change of B with respect to A is B/A. In other words, a change from 30 to 60 is defined as a fold-change of 2. This is also referred to as a "one fold increase". Similarly, a change from 30 to 15 is referred to as a "0.5-fold decrease". Fold change is often used when analysing multiple measurements of a biological system taken at different times as the change described by the ratio between the time points is easier to interpret than the difference.
Olga G. Troyanskaya is a Professor in the Department of Computer Science and the Lewis-Sigler Institute for Integrative Genomics at Princeton University and the Deputy Director for Genomics at the Flatiron Institute's Center for Computational Biology in NYC. She studies protein function and interactions in biological pathways by analyzing genomic data using computational tools.
Weighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method especially for studying biological networks based on pairwise correlations between variables. While it can be applied to most high-dimensional data sets, it has been most widely used in genomic applications. It allows one to define modules (clusters), intramodular hubs, and network nodes with regard to module membership, to study the relationships between co-expression modules, and to compare the network topology of different networks. WGCNA can be used as a data reduction technique, as a clustering method, as a feature selection method, as a framework for integrating complementary (genomic) data, and as a data exploratory technique. Although WGCNA incorporates traditional data exploratory techniques, its intuitive network language and analysis framework transcend any standard analysis technique. Since it uses network methodology and is well suited for integrating complementary genomic data sets, it can be interpreted as systems biologic or systems genetic data analysis method. By selecting intramodular hubs in consensus modules, WGCNA also gives rise to network based meta analysis techniques.
Alicia Yinema Kate Nungarai Oshlack is an Australian bioinformatician and is Co-Head of Computational Biology at the Peter MacCallum Cancer Centre in Melbourne, Victoria, Australia. She is best known for her work developing methods for the analysis of transcriptome data as a measure of gene expression. She has characterized the role of gene expression in human evolution by comparisons of humans, chimpanzees, orangutans, and rhesus macaques, and works collaboratively in data analysis to improve the use of clinical sequencing of RNA samples by RNAseq for human disease diagnosis.
Marvin Zelen was Professor Emeritus of Biostatistics in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH), and Lemuel Shattuck Research Professor of Statistical Science. During the 1980s, Zelen chaired HSPH's Department of Biostatistics. Among colleagues in the field of statistics, he was widely known as a leader who shaped the discipline of biostatistics. He "transformed clinical trial research into a statistically sophisticated branch of medical research."
George Chien-Cheng Tseng is a Biostatistician and Professor and Vice Chair for Research in the Department of Biostatistics (primary), Computational & Systems Biology (secondary) and Human Genetics (secondary) at University of Pittsburgh Graduate School of Public Health.
Rafael Irizarry is a professor of biostatistics at the Harvard T.H. Chan School of Public Health and professor of biostatistics and computational biology at the Dana–Farber Cancer Institute. Irizarry is known as one of the founders of the Bioconductor project.
Kim-Anh Do is an Australian biostatistician of Vietnamese descent. She is the chair of the Department of Biostatistics in the University of Texas MD Anderson Cancer Center, and the holder of the Electa C. Taylor Chair for Cancer Research at the center. She also holds adjunct professorships at Texas A&M University and Rice University.
Jeffrey Tullis Leek is an American biostatistician and data scientist working as a Vice President, Chief Data Officer, and Professor at Fred Hutchinson Cancer Research Center. He is an author of the Simply Statistics blog, and runs several online courses through Coursera, as part of their Data Science Specialization. His most popular course is The Data Scientist's Toolbox, which he instructed along with Roger Peng and Brian Caffo. Leek is best known for his contributions to genomic data analysis and critical view of research and the accuracy of popular statistical methods.
Jean Yee Hwa Yang is an Australian statistician known for her work on variance reduction for microarrays, and for inferring proteins from mass spectrometry data. Yang is a Professor in the School of Mathematics and Statistics at the University of Sydney.
Sandrine Dudoit is a professor of statistics and public health at the University of California, Berkeley. Her research applies statistics to microarray and genetic data; she is known as one of the founders of the open-source Bioconductor project for the development of bioinformatics software.
Eleanor Feingold is an American statistical geneticist. She is a professor of human genetics and of biostatistics, and executive associate dean, in the University of Pittsburgh Graduate School of Public Health.
Katherine Snowden Pollard is the Director of the Gladstone Institute of Data Science and Biotechnology and a professor at the University of California, San Francisco (UCSF). She is a Chan Zuckerberg Biohub Investigator. She was awarded Fellowship of the International Society for Computational Biology in 2020 and the American Institute for Medical and Biological Engineering in 2021 for outstanding contributions to computational biology and bioinformatics.
Rebecca Allana Hubbard is an American biostatistician whose research interests include observational studies and the use of electronic health record data in public health analysis and decision-making, accounting for the errors in this type of data. She is a professor of biostatistics in the Perelman School of Medicine at the University of Pennsylvania.
Hongmei Zhang is a Chinese-American biostatistician at the University of Memphis, where she is Bruns Endowed Professor in the Division of Epidemiology, Biostatistics, and Environmental Health Sciences, director of the division, program coordinator for biostatistics, and affiliated professor in the departments of mathematical sciences and biology. Her statistical interests include feature selection, biclustering, and Bayesian networks; she is also interested in the application of statistical methods to phenotype and genetic data and to epigenetics.
References
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- 1 2 "Mei-Ling Ting Lee", People, University of Maryland School of Public Health, retrieved 2017-10-16
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