On June 21th, Dr. Gavina gave a talk at the BIMAG Journal Club on “A modified shuffled frog leaping algorithm with inertia weight”.
Brenda Gavina gave a talk on “A modified shuffled frog leaping algorithm with inertia weight” at the Journal Club.
Hyun Kim gave a talk on “A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples” at the Journal Club.
On 14th June, Dr. Kim gave a talk at the Journal Club on “A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples”.
BIMAG welcomes 2024 summer interns!
BIMAG welcomes student research interns for summer 2024.
Olive Cawiding gave a talk on “Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe” at the Journal Club
On 7th, June, our student Olive gave a talk at the BIMAG Journal Club on “Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe”.
BIMAG Visiting Scholar, Professor Won Chang’s research has been featured in SIAM News. BIMAG Visiting Scholar 장원 교수의 연구가 SIAM News에 소개되었습니다.
On June 3rd, the research of Professor Won Chang, a visiting scholar at BIMAG, was featured in SIAM News. This study, which addressed the challenges of developing glacier models due to data scarcity through statistical methodologies, was covered in an article titled “Understanding Uncertainty in Glacier Models — Before the Ice Melts.”
지난 6월 3일, BIMAG Visiting Scholar 장원 교수의 연구가 SIAM News에 소개되었습니다. 데이터 부족 문제로 인한 빙하 모형 개발의 어려움을 통계적 방법론으로 해결한 이 연구는 ‘Understanding Uncertainty in Glacier Models — Before the Ice Melts’라는 제목의 기사에서 다루어졌습니다.
Dr. Kim Hyun’s interview has been published by BRIC. 김현 박사의 인터뷰가 한빛사에 공개되었습니다
On May 21st, an interview with Dr. Kim Hyun regarding the recent publication in Nature Communications, titled ‘scLENS: data-driven signal detection for unbiased scRNA-seq data analysis,’ has been featured on the Hanbit Publishing website.
지난 5월 21일 최근 Nature Communications 에 출판된 논문, scLENS: data-driven signal detection for unbiased scRNA-seq data analysis에 대한 김현 박사의 인터뷰가 한빛사 홈페이지에 게재되었습니다.
Interview Link: (Link)
An interview with CI Jae Kyoung Kim has been uploaded to the official KAIST YouTube channel. CI 김재경 교수의 인터뷰가 KAIST 공식 유튜브 채널에 업로드되었습니다.
On May 28th, an interview with CI Jae Kyoung kim was uploaded to the official KAIST YouTube channel under the title “Wait, Wasn’t This in My Dream?! Sleep, Science, Technology, and Sleep Diagnosis.” In the interview, CI Jae Kyoung kim introduced the ongoing research on sleep disorders being conducted at BIMAG.
지난 5월 28일 CI 김재경 교수의 인터뷰가 KAIST 공식 유튜브 채널에 “어라 분명 꿈에서?! 수면과 과학기술 그리고 숙면진단”이라는 제목으로 업로드 되었습니다. 인터뷰에서 김재경 교수는 BIMAG에서 진행중인 수면질환에 대한 연구에 대해 소개했습니다.
Jingyi Jessica Li gave an online talk titled “ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping” at the IBS Biomedical Mathematics Colloquium.
On May 10th, 2024, Jingyi Jessica Li from UCLA gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of her talk was “ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping.”
Lucas MacQuarrie gave a talk on “Deep Learning of Biological Models from Data: Applications to ODE Models” at the Journal Club
On May 31th, our student Lucas gave a talk at the BIMAG Journal Club on “Deep Learning of Biological Models from Data: Applications to ODE Models”.
The recent research findings of BIMAG on the causal relationship between mood disorders and circadian rhythms have been reported by various media outlets. BIMAG에서 진행한 기분장애와 일주기 리듬 사이의 인과관계에 관한 최근 연구 성과가 여러 언론사를 통해 보도되었습니다.
On May 27th, the recent research findings conducted by BIMAG on the causal relationship between mood disorders and circadian rhythms were reported by various media outlets. Detailed research findings can be found in the paper titled “Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data,” recently published in eBioMedicine.
지난 5월 27일, BIMAG에서 진행한 기분장애와 일주기 리듬 사이의 인과관계에 관한 최근 연구 성과가 여러 언론사를 통해 보도되었습니다. 자세한 연구 내용은 최근 eBioMedicine에 출판된 Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data 논문을 통해 확인할 수 있습니다.