Program
Monday July 15th
9:10-10:10

Invited Talk 1
Accountable machine learning for safe genome engineering andbiotechnology
James Zou

10:40-12:10 Oral Session 1
A multi-class decision tree for identifying cell clusters marker genes in singlecell RNAseq analysis
P1
Ahmed Youssef, Jing Zhang, Eric Reed, Zhe Wang, Evan Johnson, StefanoMonti, Gary Benson and Joshua Campbell
Fast and robust multi-view multi-task learning via group sparsity
P2
Lu Sun, Canh Hao Nguyen and Hiroshi Mamitsuka
Modelling the transfer kinetics of Fipronil from feed to eggs of laying hens
P3
Pietro Gerletti, Hans Mielke, Robert Pieper, Monika Lahrssen-Wiederholt,Thomas Kuhl, Max von Kleist and Jorge Numata
12:10-14:00 Lunch & Poster Session
Hybrid space (leave posters here until Wednesday)
14:00-15:30

P4P5P6Oral Session 2
Single cell RNA sequencing reveals lung cancer-associated alterations inbronchial cell subpopulations in the mainstem bronchus
Xingyi Shi, Grant E. Duclos, Joshua D. Campbell, Yaron Gesthalter, PatrickAutissier, Yves M Dumas, Robert Terrano, Gang Liu, Marc E Lenburg, Avrum
Spira and Jennifer Beane
Analysis of Tara Oceans omics data reveals eukaryotic plankton viruses
related to carbon export flux and efficiency
Hiroto Kaneko, Romain Blanc-Mathieu, Hisashi Endo and Hiroyuki Ogata
Simulating single-cell RNA-seq data from bulk experiments
Lam-Ha Ly and Martin Vingron

16:00-17:00 Oral Session 3
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast,P7
accurate metabolite identification from tandem mass spectra
Dai Hai Nguyen, Canh Hao Nguyen and Hiroshi Mamitsuka
The transcriptome dynamics of the cell cycle
P8
Daniel Schwabe, Sara Formichetti, Martin Falcke and Nikolaus Rajewsky

4Tuesday July 16th
9:10-10:10

Invited Talk 2
Metagenomic and metabolomic analyses reveal dynamic shifts in gut
microbiota along the adenoma-carcinoma sequence in colorectal cancer
Takuji Yamada

10:40-12:10 Oral Session 4
Single-cell spatial reconstruction reveals zonation of xenobiotic-responsive
P9lncRNAs (xeno-lncs) in mouse liver
Kritika Karri and David J. Waxman
Extracting boolean rules from trained neural networks
P10Pengyu Liu, Avraham A. Melkman and Tatsuya Akutsu
Computational analysis of the impact of MYCN on the metabolism ofneuroblastoma cells
P11
Mareike Simon, Uwe Benary, Katharina Baum, Britta Tjaden, Alexander
Schramm and Jana Wolf
12:10-13:00 Lunch
13:30-18:00 Excursion
Higashiyama walk
18:30-20:30 Banquet dinner (map below)
Manzara Nanajo https://manzara-nanajo.owst.jp

5Wednesday July 17th
9:10-10:10

Invited Talk 3
Time series anomaly detection using deep learning
See-Kiong Ng

10:40-12:10 Oral Session 5
Evaluation of assemblers and development of metagenome analysis pipeline
for gut virome
P12
Yasumasa Kimura, Kosuke Fujimoto, Satoru Miyano, Satoshi Uematsu andSeiya Imoto
Seasonal dynamics of a proposed group of giant viruses and bloom forming
eukaryotic phytoplankton
P13
Prodinger Florian, Endo Hisashi, Li Yanze, Tominaga Kento, Tatsuhiro
Isozaki, Gotoh Yasuhiro, Yoshida Takashi and Ogata Hiroyuki
Reverse engineering of neuroblastoma signaling networks
P14
Mathurin Dorel and Nils Blüthgen
12:10-14:00 Lunch & Poster Session(Please take down posters by 15:30)
14:00-15:30 Oral Session 6Prediction of blood test values under different lifestyle scenarios using timeseries electronic health record
P15
Takanori Hasegawa, Rui Yamaguchi, Masanori Kakuta, Satoru Miyano,
Shigeyuki Nakaji and Seiya Imoto
Multi-scale network biology & decoding of network attacking mutations
P31
rewiring cancer
Rune Linding
Quantitative insights into the cyanobacterial cell economy: from single cells
to growth in a light-limited chemostat
P16
Marjan Faizi and Ralf Steuer
16:00-16:10 Closing Ceremony

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