Human Genome Epidemiology Literature Finder
Records 1 - 13 (of 13 Records) |
Query Trace: Learning and KRAS[original query] |
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CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach. European journal of radiology 2019 Sep 118 38-43. Taguchi Narumi, Oda Seitaro, Yokota Yasuhiro, Yamamura Sadahiro, Imuta Masanori, Tsuchigame Tadatoshi, Nagayama Yasunori, Kidoh Masafumi, Nakaura Takeshi, Shiraishi Shinya, Funama Yoshinori, Shinriki Satoru, Miyamoto Yuji, Baba Hideo, Yamashita Yasuyu |
Providing more evidence on LZTR1 variants in Noonan syndrome patients. American journal of medical genetics. Part A 2019 Dec . Chinton Josefina, Huckstadt Victoria, Mucciolo Mafalda, Lepri Francesca, Novelli Antonio, Gravina Luis Pablo, Obregon María Gabrie |
KRAS, NRAS, and BRAF mutation prevalence, clinicopathological association, and their application in a predictive model in Mexican patients with metastatic colorectal cancer: A retrospective cohort study. PloS one 2020 15 (7): e0235490. Sanchez-Ibarra Hector Eduardo, Jiang Xianli, Gallegos-Gonzalez Elena Yareli, Cavazos-González Adriana Carolina, Chen Yenho, Morcos Faruck, Barrera-Saldaña Hugo Alber |
Combination of variations in inflammation- and endoplasmic reticulum-associated genes as putative biomarker for bevacizumab response in KRAS wild-type colorectal cancer. Scientific reports 2020 6 10 (1): 9778. Barat Ana, Smeets Dominiek, Moran Bruce, Zhang Wu, Cao Shu, Das Sudipto, Klinger Rut, Betge Johannes, Murphy Verena, Bacon Orna, Kay Elaine W, Van Grieken Nicole C T, Verheul Henk M W, Gaiser Timo, Schulte Nadine, Ebert Matthias P, Fender Bozena, Hennessy Bryan T, McNamara Deborah A, O'Connor Darran, Gallagher William M, Cremolini Chiara, Loupakis Fotios, Parikh Aparna, Mancao Christoph, Ylstra Bauke, Lambrechts Diether, Lenz Heinz-Josef, Byrne Annette T, Prehn Jochen H |
Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer. Academic radiology 2020 Jan . Wu Xiaomei, Li Yajun, Chen Xin, Huang Yanqi, He Lan, Zhao Ke, Huang Xiaomei, Zhang Wen, Huang Yucun, Li Yexing, Dong Mengyi, Huang Jia, Xia Ting, Liang Changhong, Liu Zai |
Comparable Performance of Deep Learning-Based to Manual-Based Tumor Segmentation in KRAS/NRAS/BRAF Mutation Prediction With MR-Based Radiomics in Rectal Cancer. Frontiers in oncology 2021 11 696706. Zhang Guangwen, Chen Lei, Liu Aie, Pan Xianpan, Shu Jun, Han Ye, Huan Yi, Zhang Jinso |
Sequential and co-occurring DNA damage response genetic mutations impact survival in stage III colorectal cancer patients receiving adjuvant oxaliplatin-based chemotherapy. BMC cancer 2021 3 21 (1): 217. Lin Peng-Chan, Yeh Yu-Min, Chan Ren-Hao, Lin Bo-Wen, Chen Po-Chuan, Pan Chien-Chang, Shen Meng- |
Genetic determinants of lung cancer: Understanding the oncogenic potential of somatic missense mutations. Genomics 2022 6 114 (4): 110401. Dhakar Ramgopal, Dakal Tikam Chand, Sharma Am |
Spatial analysis of tumor-infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma. The journal of pathology. Clinical research 2022 4 8 (4): 327-339. Xu Hongming, Cha Yoon Jin, Clemenceau Jean R, Choi Jinhwan, Lee Sung Hak, Kang Jeonghyun, Hwang Tae Hy |
Gene-Mutation-Based Algorithm for Prediction of Treatment Response in Colorectal Cancer Patients. Cancers 2022 4 14 (8): . Johnson Heather, El-Schich Zahra, Ali Amjad, Zhang Xuhui, Simoulis Athanasios, Wingren Anette Gjörloff, Persson Jenny |
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study. Cell reports. Medicine 2023 3 100980. Niehues Jan Moritz, Quirke Philip, West Nicholas P, Grabsch Heike I, van Treeck Marko, Schirris Yoni, Veldhuizen Gregory P, Hutchins Gordon G A, Richman Susan D, Foersch Sebastian, Brinker Titus J, Fukuoka Junya, Bychkov Andrey, Uegami Wataru, Truhn Daniel, Brenner Hermann, Brobeil Alexander, Hoffmeister Michael, Kather Jakob Nikol |
Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models. Cancers 2023 12 15 (23): . Nina Wesdorp, Michiel Zeeuw, Delanie van der Meulen, Iris van 't Erve, Zuhir Bodalal, Joran Roor, Jan Hein van Waesberghe, Shira Moos, Janneke van den Bergh, Irene Nota, Susan van Dieren, Jaap Stoker, Gerrit Meijer, Rutger-Jan Swijnenburg, Cornelis Punt, Joost Huiskens, Regina Beets-Tan, Remond Fijneman, Henk Marquering, Geert Kazemier, On Behalf Of The Dutch Colorectal Cancer Group Liver Expert Pan |
Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model. Microbiology spectrum 2024 4 e0272023. Zigui Huang, Xiaoliang Huang, Yili Huang, Kunmei Liang, Lei Chen, Chuzhuo Zhong, Yingxin Chen, Chuanbin Chen, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Yongzhi Wu, Xianwei Mo, Tang Weizhong, Jungang L |
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- Page last updated:Apr 22, 2024
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