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Bibliografiske detaljer
Hovedforfatter:	Hàn Xí Hạ
Format:	Bog
Sprog:	Undetermined
Udgivet:	H. Y Học 2004
Fag:	breast cancer
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

Lignende værker

Cẩm nang vú và bệnh ung thư vú
af: Love, Suasan M.
Udgivet: (2004)

The plant programme
af: Plant, Jane
Udgivet: (2001)

Novel breast cancer risk alleles and interaction with ionizing radiation among U.S. radiologic technologists /

Cẩm nang các bệnh về vú :
af: Love, Susan M.
Udgivet: (2010)

Synergic Activity Against MCF-7 Breast Cancer Cell Growth of Nanocurcumin-Encapsulated and Cisplatin-Complexed Nanogels
af: Nguyen, Ngoc The

Case studies in breast cancer
af: Harnett, Adrian
Udgivet: (2002)

A radiation-derived gene expression signature predicts clinical outcome for breast cancer patients /

Endocrine therapies in breast cancer
af: Buzdar, Aman U.
Udgivet: (2007)

Low-dose radiation-induced senescent stromal fibroblasts render nearby breast cancer cells radioresistant /

The breast cancer prevention plan :
af: Conley, Edward J.
Udgivet: (2006)

NF-kB-mediated HER2 overexpression in radiation-adaptive resistance /

Antibody-drug conjugates: Principles and clinical results in breast cancer treatment /
af: Nguyen Phuong Loan.

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
af: Phạm, Quang Huy
Udgivet: (2023)

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
af: Phạm, Quang Huy, et al.
Udgivet: (2023)

A novel approach for identifying relevant genes for breast cancer survivability on specific therapies
af: Phạm, Quang Huy, et al.
Udgivet: (2023)

Impact of RING and BRCT domain mutations on BRCA1 protein stability, localization and recruitment to DNA damage /
af: Nelson, Andrew C.

Hướng dẫn thực hành chẩn đoán và điều trị ung thư
af: Nguyễn Bá Đức
Udgivet: (2001)

A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies
af: Tabl, Ashraf Abou, et al.
Udgivet: (2023)

Machine Learning Approaches for Breast Cancer Survivability Prediction
af: Phạm, Quang Huy
Udgivet: (2023)

Breast cancer
Udgivet: (1999)

15 bệnh ung thư thường gặp cách phòng và chữa trị
Udgivet: (2007)

15 bệnh ung thư thường gặp cách phòng và chữa trị
Udgivet: (2007)

Phòng bệnh ung thư
af: Đái Duy Ban et al.
Udgivet: (1998)

Cẩm nang điều trị và chăm sóc bệnh nhân ung thư
af: Lê, Văn Phú
Udgivet: (2004)

Cẩm nang điều trị và chăm sóc bệnh nhân ung thư
af: Lê, Văn Phú
Udgivet: (2007)

Chỉ định phẫu thuật trong điều trị ung thư
af: Henri Redon
Udgivet: (1982)

Cẩm nang điều trị chăm sóc bệnh nhân ung thư
af: Lê, Văn Phú
Udgivet: (2004)

Bách khoa thư ưng thư học
af: Trịnh Văn Quang
Udgivet: (2002)

Ung thư đại tràng
af: Nguyễn Văn Vân
Udgivet: (1979)

Ung thư học lâm sàng
af: D K Hossfeld
Udgivet: (1991)

Bài giảng ung thư học
Udgivet: (1999)

Điều trị đau do ung thư
af: Tổ chức Y tế thế giới
Udgivet: (1997)

Ung thư học lâm sàng; T1
af: Nguyễn CHấn Hùng
Udgivet: (1986)

Ung thư học lâm sàng; T2
af: Nguyễn Chấn Hùng
Udgivet: (1986)

Hóa chất điều trị bệnh ung thư
af: Nguyễn Bá Đức
Udgivet: (2000)

Cuộc chiến tử thần =
Udgivet: (2009)

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
af: Phạm, Quang Huy, et al.
Udgivet: (2023)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
af: Mucaki, Eliseos J, et al.
Udgivet: (2023)

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
af: Phạm, Quang Huy, et al.
Udgivet: (2023)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
af: Mucaki, Eliseos J, et al.
Udgivet: (2023)