Explore tweets tagged as #BioDataScience
@tangming2005
Ming "Tommy" Tang
8 days
Free course: Intro to Computational Biology by Mike Love, author of DESeq2.
Tweet media one
9
81
447
@Biodatascience1
Biodatascience101
5 years
What is your bioinformatics stack?
Tweet media one
0
0
0
@consult_stat
친절한 통계학
7 years
오늘 알게된 R패키지 중 memoise라는 게 있는데, 계산이 반복되는 게 있으면 첨 계산결과를 기억해둬 두 번 계산하지 않는다.
Tweet media one
0
7
19
@Biodatascience1
Biodatascience101
5 years
Type III error: Undefined - but could be a result of mistaking tally marks for Roman numerals.
Tweet media one
0
0
2
@consult_stat
친절한 통계학
6 years
행렬의 대부분 값이 0이고, 그렇지않은 값이 몇개에 불과하다면, 0 아닌 값과 그 위치만 기억하는 게 효율적입니다. 이렇게 크지만 희박(sparse)한 행렬을 R로 처리할 땐, 기존의 matrix보다 Matrix (Matrix패키지)를 사용하면 저장공간과 계산 시간을 확 줄일 수 있습니다.
Tweet media one
Tweet media two
0
5
19
@BioDataSc
BioDataScience Lab
3 years
Today we had our first #microbiome day🦠 at @HelmholtzMunich 🎉🎉🎉. Great talks, lots of inspiration and potential for collaboration💡.Big thanks to the organizers and everyone who enjoyed this day together with us. Stay tuned!📡.@CompHealthMuc @MunichDS @LMU_Muenchen
Tweet media one
0
2
10
@BioDataSc
BioDataScience Lab
2 years
🌐Join Viet Tran in Overcoming Statistical Challenges in Microbiome and Single Cell Research! 🏆🧪.📈Innovative Two-Stage Workflow:.1️⃣Hierarchical grouping of microbial or cell-type features.2️⃣Explicit handling of non-compositional covariates.#microbiome #singlecell #ISMBECCB2023
Tweet media one
0
1
9
@moorejh
Jason H. Moore, PhD
7 years
Barplot of the number of job postings that contain mentions of specific #programming languages HT @BioDataScience #coding #python #java #rstats #javascript #compsci
Tweet media one
1
3
5
@RiaBioNet
RiaBio
4 years
Red de grupos de investigación y entidades iberoamericanas (públicas y privadas) con el objetivo de afrontar los desafíos y oportunidades emergentes de la creciente fusión de innovación en los campos de la IA y BioData Science. #RiaBio #IA #BioDataScience #TICs #Iberoamérica
Tweet media one
Tweet media two
0
2
10
@BioDataSc
BioDataScience Lab
3 years
Our lab @IEM_Augsburg in Universität Klinikum #Augsburg. We SAW where skin #microbiome data comes from, and now will think twice before "df.dropna()" any samples🙀. Big thanks to @amedeodetomassi for an amazing lab tour, Luise Rauer and their colleagues for making it possible😎👍
Tweet media one
0
4
9
@DigiatureTech
Omji Kesharwani
1 year
Elevate your education with AI! 📚 And Unlock the power of AI! 🌐. #AIatIISER #DataScienceMasters #BioDataScience #HybridLearning #ProfessionalEducation #IISERTirupati #DigiatureTechnology
Tweet media one
0
0
0
@BioDataSc
BioDataScience Lab
4 years
In today's #JournalClub, we took a look at the compositional aspects of #microbiome data, and how to handle them during data analysis:. Moral of the story:
Tweet media one
0
0
6
@BioDataSc
BioDataScience Lab
2 years
🔬✨ Introducing MolE!.Join @Scietwas to witness MolE's empowering chemical compound #analysis 🌐🌟.⚙️ Molecular representation learned through embedding decorrelation.✨ Predicted growth-inhibitory effects against human gut pathogens. #ML #antimicrobial #resistance #ISMBECCB2023
Tweet media one
0
2
15
@BioDataSc
BioDataScience Lab
2 years
🔍Discover the power of PIMs (compositional power interaction models) in handling @HiTSeq data! 🧬.@JohannesOstner showcases PIMs' capabilities in DA testing with correlated features while respecting zero inflation and compositional constraints 📈🎯 #ISMBECCB2023
Tweet media one
0
1
9
@BioDataSc
BioDataScience Lab
2 years
Discover the power of #NetCoMi, the #R package disentangling microbial association #networks! 📊🔬. 🦠 Understand complex #microbial interactions.🌱 Statistical network estimation made easy.🔍 Unveil the differences between groups. Don't miss a showcase made by @stefpeschel
Tweet media one
0
2
10
@BioDataSc
BioDataScience Lab
2 years
🦠Unlocking Hierarchical Relationships in Viral #Metagenomic Data with #VirNest! 🧬.1️⃣ Virus gene-sharing network estimation by leveraging hierarchical protein association.2️⃣ Hierarchical partitions through nested stochastic block model.Join @DanielePugno in unveiling #microbiome
Tweet media one
0
1
8
@BioDataSc
BioDataScience Lab
2 years
📊 Unveiling Stable Interactions in High-Throughput data!.💡@StadlerMara introduce #robust #statistical workflow:.🔗 Application to interaction effects between chromatin modifications.🧬 Lasso model for hierarchical interactions.🔎 Stability-based model selection.#ISMBECCB2023
Tweet media one
1
3
11
@Biodatascience1
Biodatascience101
5 years
2010 and 2020 by #XKCD .
Tweet media one
0
0
0
@BioDataSc
BioDataScience Lab
2 years
🔬🌿 Reproducible #microbiome #dataanalysis with #QIIME2 🐍 #python!.🔍 q2-gglasso: Sparse microbial network estimation.📈 q2-classo: Sparse log-contrast regression and classification.Join @ovlasovets @microbiome_cosi to hear more about #openscience and #softwaredevelopment🚀💻
Tweet media one
0
5
12