Monday Jan, 08, 2024 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: William Speier, PhD, Associate Professor in the Department of Radiological Sciences
TITLE: “Multimodal deep learning models for thyroid cancer detection” Hosted by William Hsu for Medical Informatics and UCLA JCCC.
Thursday Dec, 07, 2023 - 12:00 PM
Research-in-Progress (RIP) Seminar: MINI SYMPOSIUM – Emily Maciejewski (Ernst), Grad Student, Computer Science – Chenlu Di (Lohmueller), Postdoc, Ecology & Evolutionary Biology – Qingyang Wang (Li JJ), Grad Student, Statistics – Alex Bermudez (Lin), Grad Student, Bioengineering
12pm: Emily Maciejewski (Ernst), Grad Student, Computer Science TITLE: “Cross-species and tissue imputation of species-level DNA methylation samples” ABSTRACT: DNA methylation data is highly informative to study a variety of …
Monday Dec, 04, 2023 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: Monday, December 4, 2023 Graciela Gonzalez-Hernandez, PhD, Vice Chair of Research and Education, Department of Computational Biomedicine, Cedars-Sinai Medical Center
TITLE: “ChatGPT for Clinical Informatics: what can LLMs do now for Health AI?” Hosted by William Hsu for Medical Informatics
Friday Dec, 01, 2023 - 1:30 PM
Research-in-Progress (RIP) Seminar: Samir Akre (Bui), Graduate Student in Medical Informatics
TITLE: “Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch.” ABSTRACT: Digital health data from consumer wearable devices and smartphones have the potential to improve our …
Friday Dec, 01, 2023 - 1:00 PM
Research-in-Progress (RIP) Seminar: Kaija Gahm (Pinter-Wollman), Graduate Student in Ecology & Evolutionary Biology
TITLE: “An updated movement path randomization method to distinguish social and spatial drivers of animal interactions.” ABSTRACT: Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing …
Wednesday Nov, 29, 2023 - 1:30 PM
Research-in-Progress (RIP) Seminar: Christy Lee (Li JJ), Graduate Student in Statistics and Data Science
TITLE: “scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters.” ABSTRACT: Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods …
Wednesday Nov, 29, 2023 - 1:00 PM
Research-in-Progress (RIP) Seminar: Matthew Soldano (Pellegrini), Staff Research Associate, Institute for Genomics and Proteomics at DGSOM
TITLE: “A Non-Invasive Epigenetic Measure of Inflammation.” ABSTRACT: Existing epigenetic phenotype tests often lack mechanistic explanations of the observed correlations between specific methylation sites and phenotypes. This raises the crucial …
Monday Nov, 27, 2023 - 12:00 PM
Frontiers in Computational Biosciences Seminar Series: Qunhua Li, PhD, Associate Professor, Department of Statistics, The Pennsylvania State University
TITLE: “TBD” Hosted by Jingyi Jessica Li for Bioinformatics
Friday Nov, 17, 2023 - 1:30 PM
Research-in-Progress (RIP) Seminar: Michael Cheng (Yang), Graduate Student in Bioinformatics
TITLE: “scGRNdb: A Cell Type Gene Regulatory Network Atlas for Human and Mouse.” ABSTRACT: Gene regulatory networks (GRNs) elucidate the complex regulatory landscape in cells and tissues, making them powerful tools …
Friday Nov, 17, 2023 - 1:00 PM
Research-in-Progress (RIP) Seminar: Mao Tian (Boutros), Junior Bioinformatician in JCCC Cancer Data Science
TITLE: “Characterization of Genomics Landscape and Natural History of Anaplastic Thyroid Cancer using High Depth WGS and Subclonal Reconstruction.” ABSTRACT: Anaplastic thyroid cancer (ATC) is among the most lethal cancer …
