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Statistical Methods in Data Science and Applications
Year of Publication 2024
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Fault detection and classification with the rebmix R package
Nagode, Marko, Panić, Branislav, Klemenc, Jernej, Oman, Simon
Published in Computers & industrial engineering (01.11.2023)
Published in Computers & industrial engineering (01.11.2023)
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Journal Article
Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast
Dong, Jingru, Lei, Ruijiao, Ma, Feiyang, Yu, Lu, Wang, Lanlan, Xu, Shangzhi, Hu, Yunhua, Sun, Jialin, Zhang, Wenwen, Wang, Haixia, Zhang, Li
Published in PloS one (26.02.2025)
Published in PloS one (26.02.2025)
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Optimization Based Tumor Classification from Microarray Gene Expression Data
Dagliyan, Onur, Uney-Yuksektepe, Fadime, Kavakli, I. Halil, Turkay, Metin
Published in PloS one (04.02.2011)
Published in PloS one (04.02.2011)
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Fitting the Reduced RUM with Mplus: A Tutorial
Chiu, Chia-Yi, Köhn, Hans-Friedrich, Wu, Huey-Min
Published in International journal of testing (01.10.2016)
Published in International journal of testing (01.10.2016)
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Current trend and development in bioinformatics research
Fu, Yuanyuan, Ling, Zhougui, Arabnia, Hamid, Deng, Youping
Published in BMC bioinformatics (03.12.2020)
Published in BMC bioinformatics (03.12.2020)
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Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis
Wang, Lin, Su, Jiaming, Liu, Zhongjie, Ding, Shaowei, Li, Yaotan, Hou, Baoluo, Hu, Yuxin, Dong, Zhaoxi, Tang, Jingyi, Liu, Hongfang, Liu, Weijing
Published in BioData mining (01.07.2024)
Published in BioData mining (01.07.2024)
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An integrative transcriptome analysis reveals potential predictive, prognostic biomarkers and therapeutic targets in colorectal cancer
Samadi, Pouria, Soleimani, Meysam, Nouri, Fatemeh, Rahbarizadeh, Fatemeh, Najafi, Rezvan, Jalali, Akram
Published in BMC cancer (30.07.2022)
Published in BMC cancer (30.07.2022)
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Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach
Jiwani, Rahim, Pal, Koustav, Paolucci, Iwan, Odisio, Bruno, Brock, Kristy, Tannir, Nizar M, Shapiro, Daniel D, Msaouel, Pavlos, Sheth, Rahul A
Published in The oncologist (Dayton, Ohio) (06.02.2025)
Published in The oncologist (Dayton, Ohio) (06.02.2025)
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Multiple-kernel learning for genomic data mining and prediction
Wilson, Christopher M., Li, Kaiqiao, Yu, Xiaoqing, Kuan, Pei-Fen, Wang, Xuefeng
Published in BMC bioinformatics (15.08.2019)
Published in BMC bioinformatics (15.08.2019)
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Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma
Ye, Maodong, Ren, Shuai, Luo, Huanjuan, Wu, Xiumin, Lian, Hongwei, Cai, Xiangna, Ji, Yingchang
Published in BMC cancer (09.04.2025)
Published in BMC cancer (09.04.2025)
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Text mining-based measurement of precision of polysomnographic reports as basis for intervention
Baty, Florent, Hegermann, Jemima, Locatelli, Tiziana, Rüegg, Claudio, Gysin, Christian, Rassouli, Frank, Brutsche, Martin
Published in Journal of biomedical semantics (31.01.2022)
Published in Journal of biomedical semantics (31.01.2022)
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Statistical methods and resources for biomarker discovery using metabolomics
Anwardeen, Najeha R., Diboun, Ilhame, Mokrab, Younes, Althani, Asma A., Elrayess, Mohamed A.
Published in BMC bioinformatics (15.06.2023)
Published in BMC bioinformatics (15.06.2023)
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