Jiahao Wang's research while affiliated with Jilin University and other places
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Publications (7)
Objective
Breast cancer is a significant health issue for women, and human epidermal growth factor receptor-2 (HER2) plays a crucial role as a vital prognostic and predictive factor. The HER2 status is essential for formulating effective treatment plans for breast cancer. However, the assessment of HER2 status using immunohistochemistry (IHC) is ti...
Non-coding RNA (ncRNA) plays a critical role in biology. ncRNAs from the same family usually have similar functions, as a result, it is essential to predict ncRNA families before identifying their functions. There are two primary methods for predicting ncRNA families, namely, traditional biological methods and computational methods. In traditional...
Background: Noncoding RNAs (ncRNAs) play a significant role in various biological processes. Despite the availability of a large quantity of ncRNA data through high-throughput technologies, only a few ncRNAs have been functionally validated. Existing evidence suggests that ncRNAs belonging to the same family often share similar functions, highlight...
Background: Breast cancer is a major health problem for women. Human epidermal growth factor receptor-2 (HER2) is a very important diagnostic and prognostic factor for breast cancer, and HER2 status classification is essential for the development of treatment plans for breast cancer. Generally speaking, pathologists will adopt immunohistochemistry...
Background
Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the functions of numerous ncRNAs remain unclear. In recent years, researchers have found that ncRNAs of the same family have similar functions, therefore, it is important to accurately predict ncRNAs families to identify their functions. There are several meth...
Background: Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the functions of numerous ncRNAs remain unclear. In recent years,researchers have found that ncRNAs of the same family have similar functions,therefore, it is important to accurately predict ncRNAs families to identify their functions. There are several metho...
Citations
... HE-HER2Net acquired almost an accuracy of 0.87, a precision of 0.88, and a recall of 0.86. Finally, Wang et al. [28] proposed HAHNet which combines multi-scale features with attention mechanisms and obtained better results of an accuracy of 93.65%, precision of 93.67% and recall of 92.46%, etc on the same H&E data from BCI dataset. ...
... Dynamic bi-GRUs (Gated Recurrent Units) are RNNs that are faster than LSTMs. MFPred [35] represents inputs quite intricately: sequences are encoded into four sets of features, each processed by a dynamic bi-GRU, reshaped into matrices, and fused. Compared to ncDENSE, the DenseNet part is replaced by a variant of ResNets, called SE ResNet (Squeeze and Excitation ResNet), which models interdependencies between the four matrices of learned sequence encodings. ...
... These methods are divided into two main categories: (1) second structure based and (2) sequence based. Sequence-based methods have higher time efficiency and accuracy in comparison to second structure-based methods like GraPPLE (Chen et al. 2023). Several computational methods that utilize a deep-learning framework have been developed in recent years. ...
