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You can use HyperRESEARCH to examine and organize textual, audio, video, and image data.
#Hypertranscribe software mac os x
Welcome to HyperRESEARCH HyperRESEARCH is a software program for Windows and Mac OS X that helps you perform qualitative data analysis.
#Hypertranscribe software code
Study Window Code Book Sources List Source Window (Text Files) Source Window (Image Files) Source Window (Movie and Audio Files) Search Sources Window Annotation Window Autocode Window Code Map Window Theory Builder Display Results Window Report Builder Frequency Report Window File Types Reference Tools Reference Keyboard Shortcuts Menus File Menu Edit Menu Cases Menu Sources Menu Codes Menu Theory Menu Tools Menu Window Menu Help Menu Windows Options/Preferences windowġ13 118 121 123 126 127 128 130 130 133 139 141 142 146 147 149 Organization: Designing a Study and Organizing Your Work Setting Up Your Study Preparing Source Material Working Collaboratively Backing Up and Securing Data Coding: Working With Your Source Data Coding Source Material Searching and Managing Sources Adding Theme Codes Creating and Organizing Codes Analysis: Reaching Conclusions About Your Results Filtering Cases Filtering and Sorting Code References Expressions and Filtering Criteria Code Relationship Functions Boolean Logic Analyzing Code Frequencies Mapping Code Relations Testing Theories Reporting: Producing Summaries of Your Findings Generating Reports Printing Exporting Study Dataĩ5 HyperRESEARCH Reference 95 98 99 100 101 102 103 105 106 106 108 109 109 Visual Guide: HyperRESEARCH at a Glance Quick Start to Coding Tutorials How HyperRESEARCH Worksģ1 HyperRESEARCH in Depth 31 32 34 37 40 45 45 50 57 57 63 63 64 67 70 72 73 77 81 82 82 86 88
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Welcome to HyperRESEARCH What's New Installing HyperRESEARCH Using and Upgrading From the Free Limited Edition Using Help and Getting Technical Support
All other trademarks are the property of their respective owners. Windows® is a registered trademark of Microsoft Corporation. PowerPC™ is a trademark of International Business Machines Corporation. Mac OS® and QuickTime® are registered trademarks of Apple, Inc. HyperRESEARCH™ and HyperTRANSCRIBE™ are trademarks of Researchware, Inc. Web site: Technical questions: Sales questions: Copyright Information Copyright © 1988–2012 Researchware, Inc. Version 3.5 Copyright © 1988–2012 All rights reserved
Philadelphia (PA): AACR Cancer Res 2022 82(12_Suppl):Abstract nr LB177.HyperRESEARCH™ Software for Qualitative Data Analysis In: Proceedings of the American Association for Cancer Research Annual Meeting 2022 2022 Apr 8-13. Widespread hypertranscription in aggressive human cancer. Hellmann, Uri Tabori, Annie Huang, Adam Shlien. Selvanathan, Jeffrey Toretsky, Matthew D. Our results provide fundamental insights into gene dysregulation across human cancers and may prove useful in identifying patients that would benefit from novel therapies.Ĭitation Format: Matthew Zatzman, Fabio Fuligni, Ryan Ripsman, Tannu Suwal, Lisa-Monique Edward, Rob Denroche, Gun Ho Jang, Faiyaz Notta, Steven Gallinger, Saravana P. Finally, patients with hypertranscribed mutations have improved response to immune checkpoint therapy.
Single-cell analysis reveals hypertranscriptional clones, which dominate transcript production regardless of their size. Our data suggest that loss of transcriptional suppression underpins the hypertranscriptional phenotype. It defines patient subgroups with worse survival, even within well-established subtypes. Hypertranscription is ubiquitous across cancer, especially in aggressive disease. Here, we developed a computational method to directly measure hypertranscription in 7,494 human tumors, spanning 31 cancer types. This is due in part to limitations of expression profiling methods, which assume equal RNA output between samples.
#Hypertranscribe software drivers
Hypertranscription’s prevalence, underlying drivers and prognostic significance are undefined in primary human cancer. Hypertranscription is the genome-wide increase in RNA output. Cancers are often defined by the dysregulation of specific transcriptional programs however, the importance of global transcriptional changes is less understood.