Challenges in Prediction of different Cancer Stages using Gene Expression Profile of Cancer Patients

被引：0
|
作者：
Bhalla, Sherry [1 ]
Sharma, Suresh [2 ]
Raghava, Gajendra Pal Singh [1 ,3 ]
机构：
[1] CSIR Inst Microbial Technol, Bioinformat Ctr, Sect 39 A, Chandigarh 160036, India
[2] Panjab Univ, Ctr Syst Biol & Bioinformat, Sect 14, Chandigarh 160014, India
[3] Indraprastha Inst Informat Technol, Delhi Okhla Ind Estate,Phase 1, New Delhi 110020, India
来源：
ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS | 2017年
关键词：
ccRCC; Renal Cancer; Biomarkers; Gene Expression; Machine Learning;
D O I：
10.1145/3107411.3108211
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
收藏
页码：602 / 602
页数：1
相关论文
共 50 条
  • [41] EXPRESSION OF FGFR 3 PROTEIN AND GENE AMPLIFICATION (FISH) IN DIFFERENT STAGES AND GRADES OF BLADDER CANCER
    Salem, Hosni
    Kamel, Amira
    Aboushousha, Tarek
    Hammam, Olfat
    El-Hindawi, Ali
    JOURNAL OF UROLOGY, 2017, 197 (04): : E861 - E861
  • [42] Prediction of lung cancer metastasis by gene expression
    Cheng, Nitao
    Liu, Junliang
    Chen, Chen
    Zheng, Tang
    Li, Changsheng
    Huang, Jingyu
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 153
  • [43] The identification of a common different gene expression signature in patients with colorectal cancer
    Zhao, Zhongwei
    Fan, Xiaoxi
    Yang, Lili
    Song, Jingling
    Fang, Shiji
    Tu, Jianfei
    Chen, Minjiang
    Zheng, Liyun
    Wu, Fazong
    Zhang, Dengke
    Ying, Xihui
    Ji, Jiansong
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (04) : 2942 - 2958
  • [44] Breast cancer subtype classification using a multi-gene expression profile
    Ravaioli, Sara
    Pirini, Francesca
    Rocca, Andrea
    Puccetti, Maurizio
    Bonafe, Massimiliano
    Martinelli, Giovanni
    Bravaccini, Sara
    CANCER RESEARCH, 2019, 79 (13)
  • [45] Molecular classification of colorectal cancer using the gene expression profile of tumor samples
    Rashid, Mamoon
    Vishwakarma, Ramesh K.
    Deeb, Ahmad M.
    Hussein, Mohamed A.
    Aziz, Mohammad A.
    EXPERIMENTAL BIOLOGY AND MEDICINE, 2019, 244 (12) : 1005 - 1016
  • [46] Identification of New Molecular Biomarkers in Ovarian Cancer Using the Gene Expression Profile
    Olbromski, Piotr Jozef
    Pawlik, Piotr
    Bogacz, Anna
    Sajdak, Stefan
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (13)
  • [47] Prediction of Lymph Node Metastasis in Patients with Bladder Cancer Using Whole Transcriptome Gene Expression Signatures
    Seiler, Roland
    Lam, Lucia L.
    Erho, Nicholas
    Takhar, Mandeep
    Mitra, Anirban P.
    Buerki, Christine
    Davicioni, Elai
    Skinner, Eila C.
    Daneshmand, Siamak
    Black, Peter C.
    JOURNAL OF UROLOGY, 2016, 196 (04): : 1036 - 1041
  • [48] Expression Profile of Endoglin in Different Grades of Endometrial Cancer
    Oplawski, Marcin
    Dziobek, Konrad
    Adwent, Iwona
    Dftbru, Dariusz
    Grabarek, Beniamin
    Zmarzly, Nikola
    Plewka, Andrzej
    Boron, Dariusz
    CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2018, 19 (12) : 990 - 995
  • [49] The influence of a gene expression profile on breast cancer decisions
    Henry, L. R.
    Prindiville, S. A.
    Swain, S. M.
    Cordes, R.
    Soballe, P. W.
    JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (15)
  • [50] Comprehensive integrated analysis of gene expression datasets identifies key anti-cancer targets in different stages of breast cancer
    Gong, Meng-Ting
    Ye, Shou-Dong
    Lv, Wen-Wen
    He, Kan
    Li, Wen-Xing
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2018, 16 (02) : 802 - 810
12345