Mike L. Smith - Concepedia

Author

Mike L. Smith

Also Known As

L. Smith, Michael, M L Smith, M Smith, M. SMITH, M. Smith, MICHAEL SMITH, Makaleh Smith, Michael L. Smith, Michael Lynn Smith, Michael Smith

Publications

2.8K

Citations

H-Index

Concepts

All Affiliations

University of Cambridge Cancer Research UK European Molecular Biology Laboratory Addenbrooke's Hospital University of Southampton

About

Mike L. Smith is an author at University of Cambridge specializing in medicine, bioinformatics, and computational biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	5	5	638
2	Engineering	4	4	290
3	Biostatistics	3	3	271
4	Biochemistry	1	1	54
5	Biomedical Engineering	1	1	139

Mike L. Smith

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
beadarray: R classes and methods for Illumina bead-based data Mark Dunning, Mike L. Smith, Matthew E. Ritchie, Bioinformatics	2007	467
Ordering of mutations in preinvasive disease stages of esophageal carcinogenesis Jamie Weaver, Caryn S. Ross-Innes, Nicholas B. Shannon, Nature Genetics Esophageal CarcinogenesisSomatic VariantEsophageal CancerEsophagusMedicine	2014	348
Orchestrating Single-Cell Analysis with Bioconductor Robert A. Amezquita, Vince Carey, Lindsay N. Carpp, EngineeringMicro Total Analysis SystemTranscriptomics TechnologyBiomedical EngineeringGenomics	2019	139
Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data James H. R. Farmery, Mike L. Smith, Christopher J. Rhodes, Scientific Reports	2018	80
illuminaio: An open source IDAT parsing tool for Illumina microarrays Mike L. Smith, Keith Baggerly, Henrik Bengtsson, F1000Research EngineeringGeneticsGenomicsBioinformatics DatabaseGene Expression Profiling	2013	78
BeadArray Expression Analysis Using Bioconductor Matthew E. Ritchie, Mark Dunning, Mike L. Smith, PLoS Computational Biology EngineeringGeneticsGenomicsBioinformatics DatabaseGene Expression Profiling	2011	54
Characterization of AFLP markers in damselflies: prevalence of codominant markers and implications for population genetic applications Alex Wong, Mark R. Forbes, Mike L. Smith Genome	2001	50
Machine learning to predict early recurrence after oesophageal cancer surgery Saqib Rahman, Robert Walker, Megan Lloyd, British journal of surgery	2020	49
BayesPeak—an R package for analysing ChIP-seq data Jonathan Cairns, Christiana Spyrou, Rory Stark, Bioinformatics	2011	45
Genome-wide Screens Implicate Loss of Cullin Ring Ligase 3 in Persistent Proliferation and Genome Instability in TP53-Deficient Cells Alexandros P. Drainas, Ruxandra A. Lambuta, Özdemirhan Serçin, Cell Reports	2020	37

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