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標(biāo)題: Titlebook: Immunohistochemistry in Tumor Diagnostics; Muin S.A. Tuffaha,Hans Guski,Glen Kristiansen Book 2023Latest edition The Editor(s) (if applica [打印本頁(yè)]

作者: Manipulate    時(shí)間: 2025-3-21 16:09
書目名稱Immunohistochemistry in Tumor Diagnostics影響因子(影響力)




書目名稱Immunohistochemistry in Tumor Diagnostics影響因子(影響力)學(xué)科排名




書目名稱Immunohistochemistry in Tumor Diagnostics網(wǎng)絡(luò)公開度




書目名稱Immunohistochemistry in Tumor Diagnostics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Immunohistochemistry in Tumor Diagnostics被引頻次




書目名稱Immunohistochemistry in Tumor Diagnostics被引頻次學(xué)科排名




書目名稱Immunohistochemistry in Tumor Diagnostics年度引用




書目名稱Immunohistochemistry in Tumor Diagnostics年度引用學(xué)科排名




書目名稱Immunohistochemistry in Tumor Diagnostics讀者反饋




書目名稱Immunohistochemistry in Tumor Diagnostics讀者反饋學(xué)科排名





作者: AGATE    時(shí)間: 2025-3-21 20:47
https://doi.org/10.1007/978-3-031-45024-2Expression pattern; Marker; Immunoprofile; myeloid neoplasm; extraskeletal osseous
作者: Nonconformist    時(shí)間: 2025-3-22 01:09

作者: demote    時(shí)間: 2025-3-22 05:36

作者: 帶來(lái)    時(shí)間: 2025-3-22 11:18
Markers and Immunoprofile of Heart and Pericardial Tumors,The primary tumors of the heart are heterogeneous with different histogenesis and constellation. The diagnostic immunohistochemical panel depends on the histogenesis and morphology of the tumor.
作者: 浪費(fèi)物質(zhì)    時(shí)間: 2025-3-22 14:29
Markers and Immunoprofile of Tumors of the Oral Cavity, Oropharynx and Salivary Glands,Cytokeratin profile, p63, p40, p16, NUT, EBV, and Sox-10.
作者: left-ventricle    時(shí)間: 2025-3-22 19:18
Markers and Immunoprofile of Tumors of the Gastrointestinal Tract,Cytokeratin profile, CDX-2, SATB-2, CDH-17, CEA, Villin, and β-Catenin.
作者: pellagra    時(shí)間: 2025-3-22 21:23

作者: HERTZ    時(shí)間: 2025-3-23 03:34

作者: Tempor    時(shí)間: 2025-3-23 07:08

作者: Obstruction    時(shí)間: 2025-3-23 11:08
Markers and Immunoprofile of Tumors of Female Reproductive Organs,Cytokeratin profile, p40, p63, CEA, p16, Ki-67, HPV, Desmin, Myogenin, and melanoma markers.
作者: 過渡時(shí)期    時(shí)間: 2025-3-23 17:19

作者: 模仿    時(shí)間: 2025-3-23 18:02
Markers and Immunoprofile of Mesothelioma and Tumors of the Peritoneum,Markers of mesothelial cells: Calretinin, Thrombomodulin (CD141), Mesothelin, Podoplanin (D2–40), WT-1, CK5/CK6/CK7/CK14.
作者: chandel    時(shí)間: 2025-3-23 23:48

作者: foreign    時(shí)間: 2025-3-24 04:10
Markers and Immunoprofile of Histiocytic and Dendritic Cell Neoplasms,CD1a, CD4, CD14, CD21, CD23, CD35, CD43, CD56, CD68, CD123, CD163, CD207 (Langerin), CXCL13, SSTR-2, TCL-1, ALK, Fascin, Sox-10, S100, BRAF-., Clusterin, Podoplanin (D2–40) [1, 2].
作者: amphibian    時(shí)間: 2025-3-24 07:12
Immunohistochemistry in Tumor Diagnosis, the most common tumors. The expression pattern of targeted antigens is also listed as an essential factor to consider in the interpretation of the immunohistochemical stains, which includes the following expression (stain) patterns:
作者: 命令變成大炮    時(shí)間: 2025-3-24 13:27
Immunohistochemical Markers for the Diagnosis of Epithelial Tumors,proteins in all mammalian epithelial cells building an intracytoplasmic network connecting the nuclear membrane with the cell membrane and desmosomes. Cytokeratins are a complex family comprising more than 20 isotypes and divided into two types [1, 2].
作者: 音樂戲劇    時(shí)間: 2025-3-24 18:51
Muin S.A. Tuffaha,Hans Guski,Glen KristiansenProvides a concise overview of immunohistochemical markers used in surgical pathology.Discusses diagnostic approaches and pitfalls.Appeals to both the young resident as well as to the experienced path
作者: 幻影    時(shí)間: 2025-3-24 21:15

作者: 文字    時(shí)間: 2025-3-25 02:30
of all levels, from aspiring residents to seasoned specialists seeking a reliable and comprehensive resource for tumor diagnostics. Moreover, it is highly recommended for oncologists, hematologists, and researchers involved in these fields..978-3-031-45026-6978-3-031-45024-2
作者: comely    時(shí)間: 2025-3-25 04:53
sed in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili
作者: 無(wú)聊點(diǎn)好    時(shí)間: 2025-3-25 11:24
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansensed in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili
作者: AMPLE    時(shí)間: 2025-3-25 15:27
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansensed in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili
作者: Palpate    時(shí)間: 2025-3-25 19:08

作者: Nonthreatening    時(shí)間: 2025-3-25 20:37

作者: Peculate    時(shí)間: 2025-3-26 04:12
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansensed in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili
作者: CODA    時(shí)間: 2025-3-26 04:55

作者: mercenary    時(shí)間: 2025-3-26 09:54

作者: prediabetes    時(shí)間: 2025-3-26 14:37

作者: Insensate    時(shí)間: 2025-3-26 17:39
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansensed in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili
作者: 山羊    時(shí)間: 2025-3-26 21:02

作者: FLAIL    時(shí)間: 2025-3-27 03:30
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenassification and regression trees for three-way data..In this paper we introduce a tree-based method based on optimal scaling in order to account of the presence of non-linear correlated groups of variables. The results of a real world application on Tourist Satisfaction Analysis in Naples will be a
作者: palliate    時(shí)間: 2025-3-27 07:20
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansendata table loose the histograms constraints and suppose independencies between the bins but copulas takes care of the probabilities and the underlying dependencies. Then, we give several ways for representing the units (called “individuals”), the bins, the variables and the metabins when the number
作者: modish    時(shí)間: 2025-3-27 10:37

作者: bronchiole    時(shí)間: 2025-3-27 14:06
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansendata table loose the histograms constraints and suppose independencies between the bins but copulas takes care of the probabilities and the underlying dependencies. Then, we give several ways for representing the units (called “individuals”), the bins, the variables and the metabins when the number
作者: 集合    時(shí)間: 2025-3-27 18:00
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili978-3-642-05860-8978-3-540-26875-8
作者: bifurcate    時(shí)間: 2025-3-27 23:27
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili978-3-642-05860-8978-3-540-26875-8
作者: 性別    時(shí)間: 2025-3-28 02:30

作者: Jubilation    時(shí)間: 2025-3-28 07:23

作者: Gustatory    時(shí)間: 2025-3-28 11:05
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenization of accuracy in classification and model- ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretabili978-3-642-05860-8978-3-540-26875-8
作者: 通知    時(shí)間: 2025-3-28 14:36

作者: Bone-Scan    時(shí)間: 2025-3-28 21:38

作者: LATER    時(shí)間: 2025-3-29 02:31
els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: STALL    時(shí)間: 2025-3-29 03:38

作者: allergy    時(shí)間: 2025-3-29 11:02

作者: ascend    時(shí)間: 2025-3-29 12:26

作者: 證明無(wú)罪    時(shí)間: 2025-3-29 15:39

作者: 偽書    時(shí)間: 2025-3-29 23:10
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: 剝皮    時(shí)間: 2025-3-30 02:30
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: 無(wú)王時(shí)期,    時(shí)間: 2025-3-30 05:10
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: 上下連貫    時(shí)間: 2025-3-30 12:01
Muin S. A. Tuffaha,Hans Guski,Glen KristiansenReference for researchers and practitioners in data mining, Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod- els. Computer systems can easily handle mathematical models even when they are complicated
作者: vocation    時(shí)間: 2025-3-30 12:41
Muin S. A. Tuffaha,Hans Guski,Glen KristiansenReference for researchers and practitioners in data mining, Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod- els. Computer systems can easily handle mathematical models even when they are complicated
作者: 哄騙    時(shí)間: 2025-3-30 18:56

作者: 預(yù)示    時(shí)間: 2025-3-30 22:09

作者: 平淡而無(wú)味    時(shí)間: 2025-3-31 01:16
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: idiopathic    時(shí)間: 2025-3-31 07:48
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: Favorable    時(shí)間: 2025-3-31 12:46

作者: Infantry    時(shí)間: 2025-3-31 13:50
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe- matical models even when they are simple and linear. This is because human infor
作者: 疼死我了    時(shí)間: 2025-3-31 21:20
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenin different occasions (i.e. space, time, factor categories) and they are obtained when prior information play a role in the analysis..Three way data can be analyzed by exploratory methods, i.e., the factorial approach (TUCKER, PARAFAC, CANDECOMP, etc.) as well as confirmatory methods, i.e., the mod
作者: 執(zhí)拗    時(shí)間: 2025-3-31 22:51
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenories and the like becomes a challenging task since many applicative fields generate massive amount of data that are difficult to store and to analyze with traditional techniques [1]. In this paper we propose a strategy for extending standard PCA to such data in the case where the variables values a
作者: 污點(diǎn)    時(shí)間: 2025-4-1 01:49
Muin S. A. Tuffaha,Hans Guski,Glen Kristianseninterpretation issues. A TWO-CLASS tree methodoloy for non-parametric regression analysis is introduced. Data are as follows: a numerical response variable and a set of predictors (of categorical and/or numerical type) are measured on a sample of objects, with no probability assumption. Thus a non-p
作者: Allege    時(shí)間: 2025-4-1 10:01
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenories and the like becomes a challenging task since many applicative fields generate massive amount of data that are difficult to store and to analyze with traditional techniques [1]. In this paper we propose a strategy for extending standard PCA to such data in the case where the variables values a
作者: Alveolar-Bone    時(shí)間: 2025-4-1 14:05
Immunohistochemistry in Tumor Diagnosis, the most common tumors. The expression pattern of targeted antigens is also listed as an essential factor to consider in the interpretation of the immunohistochemical stains, which includes the following expression (stain) patterns:
作者: rheumatology    時(shí)間: 2025-4-1 14:52
Immunohistochemical Markers for the Diagnosis of Epithelial Tumors,proteins in all mammalian epithelial cells building an intracytoplasmic network connecting the nuclear membrane with the cell membrane and desmosomes. Cytokeratins are a complex family comprising more than 20 isotypes and divided into two types [1, 2].




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