Fast dimension reduction of multi-omics data using Iowrank approximation for cancer molecular classi

来源 :第三届数学、计算机与生命科学交叉研究青年学者论坛 | 被引量 : 0次 | 上传用户：belive

【摘要】

：

One major goal of cancer omics study is to discover novel molecular subtypes for more accurate cancer diagnoses and treatments.In recent years, high-throughput

【作者】

：

Dingming Wu Dongfang Wang Michael Zhang Jin Gu

【机构】

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TsinghuaUniversity

【出处】

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第三届数学、计算机与生命科学交叉研究青年学者论坛

【发表日期】

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2015年5期

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One major goal of cancer omics study is to discover novel molecular subtypes for more accurate cancer diagnoses and treatments.In recent years, high-throughput biotechniques are increasingly generating large-scale and cross-platform cancer multi-omics data.There is a great need for computational efficient methods for integrative analysis of the heterogeneous and high-dimensional cancer multi-omics data.

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Fast dimension reduction of multi-omics data using Iowrank approximation for cancer molecular classi

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