2050Zenodo (CERN European Organization for Nuclear Research)Open access

Hub genes in a pan-cancer co-expression network show potential for predicting drug responses

Francisco Azuaje, Tony Kaoma, Céline Jeanty, Petr V. Nazarov, Arnaud Muller, Sang‐Yoon Kim, Gunnar Dittmar, Anna Golebiewska, Simone P. Niclou

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Abstract

Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of hubs. Dataset 2. qPCR data from independent validation, including MIQE and additional information. Dataset 3. Supplementary Figures. Legends are included under each figure. Dataset 4. Full qPCR data (including raw Cq values).

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What this paper is about

Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of hubs. Dataset 2. qPCR data from independent validation, including MIQE and additional information. Dataset 3. Supplementary Figures. Legends are included under each figure. Dataset 4. Full qPCR data (including raw Cq values).

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Available abstract

Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of hubs. Dataset 2. qPCR data from independent validation, including MIQE and additional information. Dataset 3. Supplementary Figures. Legends are included under each figure. Dataset 4. Full qPCR data (including raw Cq values).

Key concepts: Drug, Gene, Computational biology, Expression (computer science), Biology, Gene co-expression network, Gene expression, Cancer

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Hub genes in a pan-cancer co-expression network show potential for predicting drug responses — Research Paper | ScholarLens