作者: 物種起源 時(shí)間: 2025-3-21 22:19 作者: 不吉祥的女人 時(shí)間: 2025-3-22 01:01
https://doi.org/10.1007/3-540-31288-9design; formal method; lambda calculus; logic; modeling; programming; software engineering作者: Libido 時(shí)間: 2025-3-22 08:05 作者: GOAT 時(shí)間: 2025-3-22 11:35
978-3-642-05939-1Springer-Verlag Berlin Heidelberg 2006作者: 羞辱 時(shí)間: 2025-3-22 16:53 作者: DAFT 時(shí)間: 2025-3-22 19:38 作者: 方舟 時(shí)間: 2025-3-22 21:55 作者: absolve 時(shí)間: 2025-3-23 01:31 作者: 眉毛 時(shí)間: 2025-3-23 09:01 作者: Kidney-Failure 時(shí)間: 2025-3-23 10:47
Textbook 2006ooks in this three-volume set combine informal, engineeringly sound practice with the rigour of formal, mathematics-based approaches...Volume 1 covers the basic principles and techniques of formal methods abstraction and modelling. First this book provides a sound, but simple basis of insight into d作者: 任意 時(shí)間: 2025-3-23 14:07 作者: carotid-bruit 時(shí)間: 2025-3-23 19:08
.], I suggest that cancer is fundamentally a disease of the control of cell differentiation in multicellular organisms, uncontrolled cell proliferation being a mere consequence of blockade, or unbalance, of cell differentiations. Cancer cell populations, that can reverse the sense of differentiatio作者: 易怒 時(shí)間: 2025-3-24 00:35
gical monitoring can significantly improve survival rates. Previous studies have revealed several serum biomarkers that are elevated in GC patients, including CEA, CA19-9, and CA72-4. However, sensitivity of these biomarkers is below 30%. Identification of more sensitive and specific to GC markers i作者: Gene408 時(shí)間: 2025-3-24 04:50
ns such as pseudo-observations and tailored loss functions.. Different neural network models were compared. Cox-CC (Kvamme et al., 2019) uses a loss function based on a case-control approximation. DeepHit (Lee et al., 2019) is a model that estimates the probability mass function and combines log-lik作者: Notify 時(shí)間: 2025-3-24 07:24
ons enable early cancer detection and intervention and are recommended in addition to clinician-based examinations. However, some patients struggle to identify high-risk skin lesions due to the presence of an overwhelming number of lesions, as well as the subtlety of changes to their skin over time.作者: cardiovascular 時(shí)間: 2025-3-24 13:01
distinguish healthy cells from those infected by pathogens. Software tools based on neural networks such as NetMHC and NetMHCpan predict whether peptides will bind to variants of MHC molecules. These tools are trained with experimental data, consisting of the amino acid sequence of peptides and the作者: 可耕種 時(shí)間: 2025-3-24 15:35
NSCLC is lung adenocarcinoma (LUAD), which solely accounts for approximately 40% of all cases. Although there has been a dramatic therapeutic improvement, the prognostic trajectory has relied on primarily clinical features such as tumor-nodal-metastasis (TNM) stage, age upon diagnosis, and smoking 作者: deficiency 時(shí)間: 2025-3-24 22:24
distinguish healthy cells from those infected by pathogens. Software tools based on neural networks such as NetMHC and NetMHCpan predict whether peptides will bind to variants of MHC molecules. These tools are trained with experimental data, consisting of the amino acid sequence of peptides and the作者: 開(kāi)花期女 時(shí)間: 2025-3-25 02:15 作者: 反感 時(shí)間: 2025-3-25 05:46 作者: 幻想 時(shí)間: 2025-3-25 11:23 作者: Terminal 時(shí)間: 2025-3-25 12:11 作者: 粘 時(shí)間: 2025-3-25 16:06
d engineering requires a thorough study about what is happening in the real world that will motivate a mathematician or engineer to mathematicize?the incident. The deeper one can observe and analyze ?the incident, the better will be for mathematical?modeling. The topic here is to visualize scientifi作者: 知道 時(shí)間: 2025-3-25 20:56
ctures, which integrate function and matter from lower to upper levels, and b) from a practical point of view by proposing future tracks for cancer therapeutics, as cancer is primarily a failure of multicellularity in animals and humans. This approach resorts to the emergent field of knowledge known作者: 收到 時(shí)間: 2025-3-26 01:38 作者: 諷刺 時(shí)間: 2025-3-26 05:13
n comparison to conventional serum markers in previous studies. Moreover, 2 proteins, F12 and CFD, were not previously associated with GC and were not utilized for serum-based testing of other malignancies. Proposed approach has a high potential to be used for serum marker identification in other ty作者: acrobat 時(shí)間: 2025-3-26 09:18
s and non-linear effects of random subsets of these variables. Models were compared using the concordance index and integrated Brier score. We applied the methods to the METABRIC breast cancer data set, including 1,960 patients, 6 clinical covariates and the expression of 863 genes.. In the simulati作者: 忍受 時(shí)間: 2025-3-26 13:12
d Dataverse to develop deep-learning algorithms that aid in skin self-examination. ResNet-50, DenseNet-121, and VGG-16 models were used to distinguish low-risk lesions (melanocytic nevi, dermatofibroma, and benign keratosis-like lesions) from high-risk lesions (melanoma, basal cell carcinoma, actini作者: AGATE 時(shí)間: 2025-3-26 19:24
0201 for these software tools. Two studies were performed, one using the data that the neural networks were trained on and the other using a sample of the human proteome. A significant bias within NetMHC-4.0 towards predicting highly hydrophobic peptides as strong binders was observed in both studie作者: 獎(jiǎng)牌 時(shí)間: 2025-3-26 22:58
c-based model. We discovered that a methylation-based model performed best among any single-omic-based model for LUAD since it provides the most abundant signature candidates. Although methylation assay is costly in general, paradoxically, methylation offers the most economical pool as prognosis mar作者: 面包屑 時(shí)間: 2025-3-27 03:10 作者: FLING 時(shí)間: 2025-3-27 07:44 作者: 施加 時(shí)間: 2025-3-27 13:22 作者: coalition 時(shí)間: 2025-3-27 16:50 作者: 大看臺(tái) 時(shí)間: 2025-3-27 17:56
abouts of the body, namely where to hide, where to metastasize, how to metastasize, who could help them, how to befool the defense, etc. These aspects of cancer cells have been looked into in some details before any modeling. We did that in this chapter.
