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Evidence based medicine: what it is and what it isn't

Sackett, D. L., Rosenberg, W. M. C., Gray, J. A. M., Haynes, R. B., & Richardson, W. S. (1996) · BMJ

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Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1

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Sources of method bias in social science research and recommendations on how to control it

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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations

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New Guidelines to Evaluate the Response to Treatment in Solid Tumors

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Medical Imaging Techniques and ApplicationsStatistical Methods in Clinical Trials

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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory

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Standardisation of spirometry

Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal

Chronic Obstructive Pulmonary Disease (COPD) ResearchClinical Laboratory Practices and Quality Control

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Mastering the game of Go with deep neural networks and tree search

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature

Artificial Intelligence in GamesArtificial Intelligence Applications

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Atomically Thin MoS 2 : A New Direct-Gap Semiconductor

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RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

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Differential expression analysis for sequence count data

Anders, S., & Huber, W. (2010) · Genome Biology

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Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology

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Social Cognitive Theory: An Agentic Perspective

Bandura, A. (2001) · Annual Review of Psychology

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Integrated analysis of multimodal single-cell data

Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · Cell

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Community structure in social and biological networks

Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences

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Case Study Research

Hartley, J. (2004) · Essential Guide to Qualitative Methods in Organizational Research

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Comprehensive Integration of Single-Cell Data

Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell

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Content Analysis: An Introduction to Its Methodology

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GSVA: gene set variation analysis for microarray and RNA-Seq data

Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics

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Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans

Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature

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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence

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FaceNet: A Unified Embedding for Face Recognition and Clustering

Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · arXiv

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Towards a methodology for developing evidence-informed management knowledge by means of systematic review

Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management

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