2,758 research outputs found
sj-pdf-1-psh-10.1177_20101058211055222 – Supplemental Material for The Uro-Oncology Multi-disciplinary team (MDT) Clinic – Clinical and Patient-Reported Outcomes From Implementing a New Model of Care
No full textSupplemental Material, sj-pdf-1-psh-10.1177_20101058211055222 for The Uro-Oncology Multi-disciplinary team (MDT) Clinic – Clinical and Patient-Reported Outcomes From Implementing a New Model of Care by Alvin Y Lee, Raj Tiwari, Shuhui Neo, Daanesh Huned, Arjunan Kumaran, Chloe Li Wen Lim, Melvin Lee Kiang Chua, Ravindran Kanesvaran and Lui Shiong Lee in Proceedings of Singapore Healthcare</p
D-LIM: a Neural Network for Interpretable Gene-Gene Interactions
No full textRecent advances in gene editing can produce large genotype-fitness maps for targeted genes, yet predicting the effects of mutations between genes remains challenging. Indeed, biochemical models require knowledge of underlying parameters and interactions, whereas machine learning methods typically lack interpretability, as they do not link model parameters to biological quantities. We introduce D-LIM, a neural network that infers low-dimensional fitness landscapes directly from mutation-fitness data. The distinctive feature of D-LIM is that it assumes genes act through independent gene-specific molecular phenotypes whose nonlinear interactions determine fitness. When this assumption holds, the model yields accurate predictions and interpretable effective phenotypes. Conversely, failure reveals that a low-dimensional model is insufficient. Applied to deep mutational scanning of metabolic pathways, protein-protein interactions, and yeast environmental adaptation, D-LIM achieves state-ofthe-art predictive accuracy. The inferred phenotype-fitness landscapes reveal whether epistatic interactions can be captured by a low-dimensional continuous model and identify potential trade-offs. Moreover, D-LIM estimates mutational effects on the effective phenotypes, enabling weak extrapolation beyond the training domain. D-LIM demonstrates how simple structure constraints in a neural network can help inference and hypothesis generation in biology.</div
D-LIM: A neural network for interpretable gene–gene interactions
No full textInternational audienceRecent advances in gene editing can produce large genotype-fitness maps for targeted genes, yet predicting the effects of mutations between genes remains challenging. Indeed, biochemical models require knowledge of underlying parameters and interactions, whereas machine learning methods typically lack interpretability, as they do not link model parameters to biological quantities. We introduce D-LIM, a neural network that infers low-dimensional fitness landscapes directly from mutation-fitness data. The distinctive feature of D-LIM is that it assumes genes act through independent gene-specific molecular phenotypes whose nonlinear interactions determine fitness. When this assumption holds, the model yields accurate predictions and interpretable effective phenotypes. Conversely, failure reveals that a low-dimensional model is insufficient. Applied to deep mutational scanning of metabolic pathways, protein-protein interactions, and yeast environmental adaptation, D-LIM achieves state-ofthe-art predictive accuracy. The inferred phenotype-fitness landscapes reveal whether epistatic interactions can be captured by a low-dimensional continuous model and identify potential trade-offs. Moreover, D-LIM estimates mutational effects on the effective phenotypes, enabling weak extrapolation beyond the training domain. D-LIM demonstrates how simple structure constraints in a neural network can help inference and hypothesis generation in biology.</div
Yves-Heng Lim
No full textYves-Heng Lim est enseignant-chercheur au Département d’Etudes de Sécurité et de Criminologie de l’Université Macquarie, Sydney. Il est l’auteur de China’s Naval Power: An Offensive Realist Approach (Ashgate, 2014). Yves-Heng Lim is a lecturer at the Department of Security Studies and Criminology, Macquarie University. He is the author of China’s Naval Power: An Offensive Realist Approach (Ashgate, 2014)
Professional attachment report [with] Chio Lim & Associates.
No full textThis report serves as a summary of the professional attachment. Besides touching on author experiences working with Chio Lim & Associates (CLA), it wil also touch on other issues before, during and after the program
Lim-inf convergence and its compactness
No full textAbstract- We describe the Mizar formalization of the proof of compactness of lim-inf convergence given in [W33] according to [CCL]. Lim-inf convergence formalized in [W28] is a Moore-Smith convergence investigated in [Y6] and involves the concept of nets. The proof is based on the equivalence of two approaches to convergence in topological spaces: filter convergence and Moore-Smith (net) convergence. The equivalence is worked out in [Y19] and different characterizations of compactness are also given there. These efforts are a continuation of the international project of formalizing the theory of continuous lattices headed by the first author
“Survival – to keep writing”: An interview with Shirley Geok-lin Lim
No full textIn this e-mail interview conducted in 2016, author and scholar Shirley Geok-lin Lim addresses the changing social and political conditions in the United States. Lim discusses the affective relationship between aesthetics and politics in her work, the anxiety of multilingual stylistics, and the in-between nature of the transnation. She also reflects on the academic marginalization she has experienced as a result of her immigrant designation and subjectivity, as well as the indirect influence of China and Chineseness on her writing. Commenting on her memoir Among the White Moon Faces, Lim notes the difficulty of titling, and addresses the impact of anglophone literature upon her during her colonial Malaysian upbringing
Majelis Ta’lim Sebagai Alternatif Pusat Pendidikan Islam (Studi Kasus pada Majelis Ta’lim Se Kecamatan Natar Lampung Selatan)
No full textIn the public, living we see routine activities what is done. The routine activities are religious and non religious. Usually, religious activities are done in majelis ta’lim. Majelis ta’lim that grow in the community can to became alternative for central of islamic education if the managed well. Therefore, the author want to discuss about this issue with expectation to know of factors that cause the failure religious building in majelis ta’lim especially in Natar, so to know activities that required to done so as really became alternative for central of Islamic education. This research is quantitative research with collecting data from majelis ta’lim which became this research object. The collecting data is done with instruments: as observation, interview, and documentation. From this research, we can know that style and methode is done by the teacher is principal key to success in majelis ta’lim. Therefore, the inovation is required in majelis ta’lim activities so that can interest of more pilgrims and make him the alternative for central of Islamic education
Interactions between LHX3-And ISL1-family LIM-homeodomain transcription factors are conserved in Caenorhabditis elegans
No full text© 2017 The Author(s). LIM-Homeodomain (LIM-HD) transcription factors are highly conserved in animals where they are thought to act in a transcriptional 'LIM code' that specifies cell types, particularly in the central nervous system. In chick and mammals the interaction between two LIM-HD proteins, LHX3 and Islet1 (ISL1), is essential for the development of motor neurons. Using yeast two-hybrid analysis we showed that the Caenorhabditis elegans orthologs of LHX3 and ISL1, CEH-14 and LIM-7 can physically interact. Structural characterisation of a complex comprising the LIM domains from CEH-14 and a LIM-interaction domain from LIM-7 showed that these nematode proteins assemble to form a structure that closely resembles that of their vertebrate counterparts. However, mutagenic analysis across the interface indicates some differences in the mechanisms of binding. We also demonstrate, using fluorescent reporter constructs, that the two C. elegans proteins are co-expressed in a small subset of neurons. These data show that the propensity for LHX3 and Islet proteins to interact is conserved from C. elegans to mammals, raising the possibility that orthologous cell specific LIM-HD-containing transcription factor complexes play similar roles in the development of neuronal cells across diverse species
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