Machine learning and related approaches in transcriptomics-Reference-Cited by-同舟云学术

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Machine learning and related approaches in transcriptomics

Published:2024-09 Issue: Volume:724 Page:150225
ISSN:0006-291X
Container-title:Biochemical and Biophysical Research Communications
language:en
Short-container-title:Biochemical and Biophysical Research Communications

Author:

Cheng Yuning^ORCID,Xu Si-Mei^ORCID,Santucci Kristina^ORCID,Lindner Grace^ORCID,Janitz Michael^ORCID

Publisher

Elsevier BV

Reference109 articles.

1. RNA sequencing and analysis;Kukurba;Cold Spring Harb. Protoc.,2015

2. Transcriptome profiling in human diseases: new advances and perspectives;Casamassimi;Int. J. Mol. Sci.,2017

3. Genomics and transcriptomics: the powerful technologies in precision medicine;Khodadadian;Int. J. Gen. Med.,2020

4. Digital expression explorer 2: a repository of uniformly processed RNA sequencing data;Ziemann;GigaScience,2019

5. Transcriptomics in cancer diagnostics: developments in technology, clinical research and commercialization;Sager;Expert Rev. Mol. Diagn,2015

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2. Comment on: A panel of four plasma amino acids is a promising biomarker for newly diagnosed bladder cancer;Clinical Nutrition;2024-10

3. REDInet: a TCN-based classifier for A-to-I RNA editing detection harnessing million known events;2024-09-10

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