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Network analysis of TCGA and GTEx gene expression datasets for identification of trait-associated biomarkers in human cancer
Protocols for analyzing TCGA and GTEx RNA-Seq data to identify trait-associated biomarkers in human cancer, including differential expression, network analysis, and survival analysis methods.
pmc.ncbi.nlm.nih.govDelineate extracts and analyzes data from biopharma research papers and patents at scale, including data trapped in figures and graphs.
https://t.co/cqBnXg74wO https://t.co/7EM2aiuAbo
Y Combinatorx.com
NEW Preprint🥳🥳 Bulk RNA-seq analysis requires extensive resources and coding experience. We present LVBRS: a graphical user interface for conducting QC, transcript quant., diff. splicing, diff expression analysis, and functional enrichment analyses. 🔗: https://t.co/sMsLwR1XLK https://t.co/AIiocvFHGf
problems to be addressed in such projects, and the steps necessary to complete the analysis, diagnosis, and conclusions are usually so sufficiently well established that they can be…
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David H. Maister • Managing The Professional Service Firm
If you have an attribute list that includes CEPs and other attributes, it is useful to do this analysis separately for each attribute group. This reduces the impact of changes, particularly given that the list of other attributes tracked may…
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Jenni Romaniuk • Better Brand Health eBook
Writing assistant, workhorse, or accelerator? How academics are using GenAI
Mads P. Sørensenblogs.lse.ac.ukI built a Multi-Agent Product Launch Intelligence app using Firecrawl and Agno.
It has 3 AI Agents working together:
- Competitor Analysis Agent
- Market Sentiment Agent
- Launch Metrics Agent
100% Opensource Code with step-by-step... See more
Shubham Saboox.comClearly the numbers in finance are causally dependent on one another and take place in a world in which time has a direction.
Sacha Meyers • Bitcoin Is Venice: Essays on the Past and Future of Capitalism
2501.09223v1
The text outlines foundational concepts of large language models, focusing on pre-training methods, model architectures, generative models, prompting strategies, and alignment techniques in natural language processing.
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