The 21st International Conference on Bioinformatics (InCoB2022): medical genomics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Virtual21-23 November 2022

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Edited by Shoba Ranganathan, Prashanth Suravajhala, Yun Zheng, and Kenta Nakai.

c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s disease

Alzheimer’s disease (AD) is an incurable, debilitating neurodegenerative disorder. Current biomarkers for AD diagnosis require expensive neuroimaging or invasive cerebrospinal fluid sampling, thus precluding e...

Authors: Sherlyn Jemimah and Aamna AlShehhi

Citation: BMC Medical Genomics 2023 16(Suppl 2):244

Content type: Research Published on: 13 October 2023
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HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD)

Cell composition deconvolution (CCD) is a type of bioinformatic task to estimate the cell fractions from bulk gene expression profiles, such as RNA-seq. Many CCD models were developed to perform linear regress...

Authors: Yen-Jung Chiu, Chung-En Ni and Yen-Hua Huang

Citation: BMC Medical Genomics 2023 16(Suppl 2):272

Content type: Research Published on: 31 October 2023
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The 21st International Conference on Bioinformatics (InCoB2022): medical genomics

Research

c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s disease

HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD)

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