Computational Methods in Inferring Cancer Tissue-of-Origin and Cancer Molecular Classification, Volume I PDF Download
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Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 2889666549
Category : Science
Languages : en
Pages : 257
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Book Description
Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 2889666549
Category : Science
Languages : en
Pages : 257
Get Book Here
Book Description
Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 2832555012
Category : Science
Languages : en
Pages : 324
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Book Description
Our second Research Topic in this series, Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume II (https://fro.ntiers.in/14361) has over 8 accepted articles and further manuscripts currently under review. Due to the continued success of these Research Topics and the interest in the subject, we will launch a third volume on the same topic. Inferring cancer tissue-of-origin and molecular classification are two critical problems in personalized cancer therapy. It is known that there are about 5% cancers of unknown primary (CUP) site. These kinds of patients are under empirical chemotherapy, which leads to a very low survival rate. Thus, it is important to infer cancer tissue-of-origin. However, experimental methods usually fail to identify the exact tissue-of-origin even after the death of a patient, which provides a need for computational methods especially in the era of big biomedical data. Based on the finding that gene expressions of metastasis cancer cells are more similar to those of original tissue than metastasis tissue, there have been a few computational methods developed in this area. However, the accuracy of the methods is yet to be improved to assure a clinical usage. In addition to CUP, inferring cancer tissue-of-origin is also important in avoiding misdiagnosis even if the cancer origin is known.
Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 288971408X
Category : Science
Languages : en
Pages : 138
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Book Description
Author: Lu Xie
Publisher: Frontiers Media SA
ISBN: 2889744027
Category : Science
Languages : en
Pages : 400
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Book Description
Author: Guo-Cheng Yuan
Publisher: Humana Press
ISBN: 9781493990566
Category : Science
Languages : en
Pages : 271
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Book Description
This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
Author: Liang Cheng
Publisher: Frontiers Media SA
ISBN: 283251314X
Category : Medical
Languages : en
Pages : 349
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Book Description
Author: Fu Wang
Publisher: Frontiers Media SA
ISBN: 2832511694
Category : Medical
Languages : en
Pages : 228
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Book Description
Author:
Publisher: Elsevier
ISBN: 0443184313
Category : Mathematics
Languages : en
Pages : 270
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Book Description
Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Statistics series - Includes the latest information on Deep Learning
Author: Suman Ghosal
Publisher: Frontiers Media SA
ISBN: 2889748618
Category : Science
Languages : en
Pages : 268
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Book Description
Author: Kenneth K.W. To
Publisher: Academic Press
ISBN: 0128199032
Category : Science
Languages : en
Pages : 460
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Book Description
Drug Repurposing in Cancer Therapy: Approaches and Applications provides comprehensive and updated information from experts in basic science research and clinical practice on how existing drugs can be repurposed for cancer treatment. The book summarizes successful stories that may assist researchers in the field to better design their studies for new repurposing projects. Sections discuss specific topics such as in silico prediction and high throughput screening of repurposed drugs, drug repurposing for overcoming chemoresistance and eradicating cancer stem cells, and clinical investigation on combination of repurposed drug and anticancer therapy. Cancer researchers, oncologists, pharmacologists and several members of biomedical field who are interested in learning more about the use of existing drugs for different purposes in cancer therapy will find this to be a valuable resource. - Presents a systematic and up-to-date collection of the research underpinning the various drug repurposing approaches for a quick, but in-depth understanding on current trends in drug repurposing research - Brings better understanding of the drug repurposing process in a holistic way, combining both basic and clinical sciences - Encompasses a collection of successful stories of drug repurposing for cancer therapy in different cancer types
